{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tuning a `multi_match` `most_fields` query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import importlib\n",
    "import os\n",
    "import sys\n",
    "\n",
    "from copy import deepcopy\n",
    "from elasticsearch import Elasticsearch\n",
    "from skopt.plots import plot_objective"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# project library\n",
    "sys.path.insert(0, os.path.abspath('..'))\n",
    "\n",
    "import qopt\n",
    "importlib.reload(qopt)\n",
    "\n",
    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_query_mrr100_templated, set_bm25_params\n",
    "from qopt.optimize import Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting BM25 params fields:\n",
      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
      " - title.bigrams: {'k1': 1.2, 'b': 0.75}\n",
      " - body: {'k1': 3.0128735487205525, 'b': 0.8200709176657588}\n",
      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
      " - expansions: {'k1': 4.870954366799399, 'b': 0.9249613913608172}\n",
      " - expansions.bigrams: {'k1': 1.2, 'b': 0.75}\n"
     ]
    }
   ],
   "source": [
    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
    "es = Elasticsearch('http://localhost:9200')\n",
    "\n",
    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
    "max_concurrent_searches = 10\n",
    "\n",
    "index = 'msmarco-document.doc2query'\n",
    "template_id = 'query'\n",
    "query_type = 'most_fields'\n",
    "\n",
    "# set best BM25 params\n",
    "set_bm25_params(es, index, [\n",
    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
    "])\n",
    "\n",
    "# base template for tuning\n",
    "base_templates = [{\n",
    "    \"id\": template_id,\n",
    "    \"template\": {\n",
    "        \"lang\": \"mustache\",\n",
    "        \"source\": { \"query\": {} }\n",
    "    }\n",
    "}]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "_templates = deepcopy(base_templates)\n",
    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
    "    \"type\": query_type,\n",
    "    \"query\": \"{{query_string}}\",\n",
    "    \"fields\": [\n",
    "        \"url^{{url|boost}}\",\n",
    "        \"title^{{title|boost}}\",\n",
    "        \"body^{{body|boost}}\",\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2866\n",
      "CPU times: user 1.87 s, sys: 548 ms, total: 2.42 s\n",
      "Wall time: 2min 35s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:00:35 (remains: 0:28:59)\n",
      "   | 0.2258 (best: 0.2258) - {'url|boost': 2.3238513494968465, 'title|boost': 9.646148895586501, 'body|boost': 0.38400616693785034}\n",
      " > iteration 2/50, took 0:00:28 (remains: 0:22:51)\n",
      "   | 0.2780 (best: 0.2780) - {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
      " > iteration 3/50, took 0:00:23 (remains: 0:18:16)\n",
      "   | 0.2495 (best: 0.2780) - {'url|boost': 9.553248081080604, 'title|boost': 1.5748881225250224, 'body|boost': 3.2614301427054544}\n",
      " > iteration 4/50, took 0:00:24 (remains: 0:18:26)\n",
      "   | 0.2583 (best: 0.2780) - {'url|boost': 6.507299764796497, 'title|boost': 5.987881219913318, 'body|boost': 4.881867345452938}\n",
      " > iteration 5/50, took 0:00:17 (remains: 0:13:22)\n",
      "   | 0.2612 (best: 0.2780) - {'url|boost': 3.3769929734787656, 'title|boost': 8.924602179073064, 'body|boost': 5.606954895821747}\n",
      " > iteration 6/50, took 0:00:25 (remains: 0:19:01)\n",
      "   | 0.2601 (best: 0.2780) - {'url|boost': 4.946380499545137, 'title|boost': 2.5415905345443486, 'body|boost': 3.509631815281054}\n",
      " > iteration 7/50, took 0:00:23 (remains: 0:17:10)\n",
      "   | 0.2540 (best: 0.2780) - {'url|boost': 9.641165661835814, 'title|boost': 0.33395128249506084, 'body|boost': 4.066565369125134}\n",
      " > iteration 8/50, took 0:00:17 (remains: 0:12:22)\n",
      "   | 0.2402 (best: 0.2780) - {'url|boost': 2.368781151096389, 'title|boost': 5.454121974707099, 'body|boost': 0.9963484715177975}\n",
      " > iteration 9/50, took 0:00:17 (remains: 0:12:09)\n",
      "   | 0.2157 (best: 0.2780) - {'url|boost': 6.739732846936171, 'title|boost': 8.516958963929385, 'body|boost': 0.09016839048032967}\n",
      " > iteration 10/50, took 0:00:18 (remains: 0:12:26)\n",
      "   | 0.2637 (best: 0.2780) - {'url|boost': 9.229886627956724, 'title|boost': 0.6583741367079111, 'body|boost': 7.073274057480247}\n",
      " > iteration 11/50, took 0:00:27 (remains: 0:17:37)\n",
      "   | 0.2694 (best: 0.2780) - {'url|boost': 3.853274414254839, 'title|boost': 4.460041774947854, 'body|boost': 8.625340128530983}\n",
      " > iteration 12/50, took 0:00:18 (remains: 0:11:30)\n",
      "   | 0.2425 (best: 0.2780) - {'url|boost': 1.7559301776399052, 'title|boost': 8.18845899363186, 'body|boost': 1.4434228323243716}\n",
      " > iteration 13/50, took 0:00:26 (remains: 0:16:05)\n",
      "   | 0.2643 (best: 0.2780) - {'url|boost': 2.341882970836164, 'title|boost': 7.822955786926337, 'body|boost': 5.6976413125467475}\n",
      " > iteration 14/50, took 0:00:22 (remains: 0:13:29)\n",
      "   | 0.2528 (best: 0.2780) - {'url|boost': 6.558343954790889, 'title|boost': 5.153553004338041, 'body|boost': 3.4757755390999083}\n",
      " > iteration 15/50, took 0:00:26 (remains: 0:15:24)\n",
      "   | 0.2623 (best: 0.2780) - {'url|boost': 2.764537988634716, 'title|boost': 0.9438667130012193, 'body|boost': 1.9986897879344463}\n",
      " > iteration 16/50, took 0:00:27 (remains: 0:15:22)\n",
      "   | 0.2666 (best: 0.2780) - {'url|boost': 1.6126075126697061, 'title|boost': 8.825796870036022, 'body|boost': 7.550812103765767}\n",
      " > iteration 17/50, took 0:00:26 (remains: 0:14:42)\n",
      "   | 0.2694 (best: 0.2780) - {'url|boost': 4.484585689638971, 'title|boost': 7.527812847768384, 'body|boost': 9.757936584473129}\n",
      " > iteration 18/50, took 0:00:17 (remains: 0:09:18)\n",
      "   | 0.2683 (best: 0.2780) - {'url|boost': 5.3076278028801465, 'title|boost': 0.04885335531676694, 'body|boost': 8.95515438611021}\n",
      " > iteration 19/50, took 0:00:25 (remains: 0:13:15)\n",
      "   | 0.2640 (best: 0.2780) - {'url|boost': 5.926705397977367, 'title|boost': 9.585111800400641, 'body|boost': 7.524470495603625}\n",
      " > iteration 20/50, took 0:00:19 (remains: 0:09:57)\n",
      "   | 0.2707 (best: 0.2780) - {'url|boost': 1.2310326786181327, 'title|boost': 6.484289385725315, 'body|boost': 6.680460269759133}\n",
      " > iteration 21/50, took 0:00:16 (remains: 0:08:06)\n",
      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.561005735302018}\n",
      " > iteration 22/50, took 0:00:16 (remains: 0:07:49)\n",
      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0}\n",
      " > iteration 23/50, took 0:00:25 (remains: 0:11:31)\n",
      "   | 0.2635 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 6.554201479466627, 'body|boost': 10.0}\n",
      " > iteration 24/50, took 0:00:27 (remains: 0:11:59)\n",
      "   | 0.2763 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 7.236737470169135, 'body|boost': 10.0}\n",
      " > iteration 25/50, took 0:00:27 (remains: 0:11:39)\n",
      "   | 0.2666 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0}\n",
      " > iteration 26/50, took 0:00:24 (remains: 0:09:37)\n",
      "   | 0.2736 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 5.351823440047774, 'body|boost': 10.0}\n",
      " > iteration 27/50, took 0:00:26 (remains: 0:10:13)\n",
      "   | 0.2625 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
      " > iteration 28/50, took 0:00:27 (remains: 0:09:57)\n",
      "   | 0.2729 (best: 0.2780) - {'url|boost': 1.5738887684489904, 'title|boost': 6.604653260246946, 'body|boost': 10.0}\n",
      " > iteration 29/50, took 0:00:27 (remains: 0:09:42)\n",
      "   | 0.2709 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
      " > iteration 30/50, took 0:00:20 (remains: 0:06:44)\n",
      "   | 0.2672 (best: 0.2780) - {'url|boost': 7.037826875548215, 'title|boost': 2.845601283790764, 'body|boost': 10.0}\n",
      " > iteration 31/50, took 0:00:10 (remains: 0:03:16)\n",
      "   | 0.2064 (best: 0.2780) - {'url|boost': 5.6416253976592685, 'title|boost': 0.0, 'body|boost': 0.0}\n",
      " > iteration 32/50, took 0:00:28 (remains: 0:08:26)\n",
      "   | 0.2628 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 1.923403561800898, 'body|boost': 8.575457650745888}\n",
      " > iteration 33/50, took 0:00:27 (remains: 0:07:55)\n",
      "   | 0.2708 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 2.604813663436445, 'body|boost': 2.803947206689343}\n",
      " > iteration 34/50, took 0:00:15 (remains: 0:04:00)\n",
      "   | 0.2549 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 6.08896534032592}\n",
      " > iteration 35/50, took 0:00:24 (remains: 0:06:03)\n",
      "   | 0.2582 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 3.934119906842948}\n",
      " > iteration 36/50, took 0:00:27 (remains: 0:06:22)\n",
      "   | 0.2764 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 6.504269906335862, 'body|boost': 8.769467811233426}\n",
      " > iteration 37/50, took 0:00:25 (remains: 0:05:33)\n",
      "   | 0.2761 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 7.1366948248677975, 'body|boost': 9.276540081118041}\n",
      " > iteration 38/50, took 0:00:16 (remains: 0:03:18)\n",
      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 1.8110236876390382}\n",
      " > iteration 39/50, took 0:00:27 (remains: 0:04:58)\n",
      "   | 0.2666 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 5.127496468535928, 'body|boost': 3.898487179303871}\n",
      " > iteration 40/50, took 0:00:26 (remains: 0:04:25)\n",
      "   | 0.2760 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 6.6301423753556135, 'body|boost': 9.046794150883796}\n",
      " > iteration 41/50, took 0:00:26 (remains: 0:03:57)\n",
      "   | 0.2712 (best: 0.2780) - {'url|boost': 2.174782040138039, 'title|boost': 2.5627791092954033, 'body|boost': 6.301661183841238}\n",
      " > iteration 42/50, took 0:00:23 (remains: 0:03:04)\n",
      "   | 0.2683 (best: 0.2780) - {'url|boost': 1.8612675838259782, 'title|boost': 2.7282220068434797, 'body|boost': 3.890122994339187}\n",
      " > iteration 43/50, took 0:00:25 (remains: 0:02:55)\n",
      "   | 0.2685 (best: 0.2780) - {'url|boost': 3.6712903280839178, 'title|boost': 1.8085448789415814, 'body|boost': 10.0}\n",
      " > iteration 44/50, took 0:00:26 (remains: 0:02:40)\n",
      "   | 0.2663 (best: 0.2780) - {'url|boost': 7.354186274301035, 'title|boost': 7.60650989291325, 'body|boost': 10.0}\n",
      " > iteration 45/50, took 0:00:29 (remains: 0:02:25)\n",
      "   | 0.2763 (best: 0.2780) - {'url|boost': 0.08047421835670755, 'title|boost': 4.325983678135508, 'body|boost': 6.896441302397576}\n",
      " > iteration 46/50, took 0:00:27 (remains: 0:01:50)\n",
      "   | 0.2675 (best: 0.2780) - {'url|boost': 3.3128870142039086, 'title|boost': 9.8866865072258, 'body|boost': 9.856390884419014}\n",
      " > iteration 47/50, took 0:00:15 (remains: 0:00:46)\n",
      "   | 0.2759 (best: 0.2780) - {'url|boost': 0.07421007987118756, 'title|boost': 3.5092941294535223, 'body|boost': 8.883143541357803}\n",
      " > iteration 48/50, took 0:00:27 (remains: 0:00:55)\n",
      "   | 0.2588 (best: 0.2780) - {'url|boost': 9.99081977831114, 'title|boost': 6.639987560113557, 'body|boost': 7.57569573039382}\n",
      " > iteration 49/50, took 0:00:25 (remains: 0:00:25)\n",
      "   | 0.2754 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 4.90434482444568, 'body|boost': 8.231111604953634}\n",
      " > iteration 50/50, took 0:00:26 (remains: 0:00:00)\n",
      "   | 0.2666 (best: 0.2780) - {'url|boost': 7.458453624561435, 'title|boost': 0.0, 'body|boost': 10.0}\n",
      "Best score: 0.2780\n",
      "Best params: {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
      "Final params: {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
      "\n",
      "CPU times: user 1min 5s, sys: 15.9 s, total: 1min 21s\n",
      "Wall time: 19min 53s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3001\n",
      "CPU times: user 2.14 s, sys: 718 ms, total: 2.86 s\n",
      "Wall time: 2min 27s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 1.0282402606853827,\n",
       " 'title|boost': 5.620614617420669,\n",
       " 'body|boost': 9.993215193304582}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + bigrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "_templates = deepcopy(base_templates)\n",
    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
    "    \"type\": \"most_fields\",\n",
    "    \"query\": \"{{query_string}}\",\n",
    "    \"fields\": [\n",
    "        \"url^{{url|boost}}\",\n",
    "        \"title^{{title|boost}}\",\n",
    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
    "        \"body^{{body|boost}}\",\n",
    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2696\n",
      "CPU times: user 2.07 s, sys: 732 ms, total: 2.8 s\n",
      "Wall time: 5min 28s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'title_bigrams|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'body_bigrams|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:01:12 (remains: 0:58:59)\n",
      "   | 0.2345 (best: 0.2345) - {'url|boost': 6.41798492751675, 'title|boost': 2.1259847739071542, 'title_bigrams|boost': 9.627474515682819, 'body|boost': 7.9444381406927995, 'body_bigrams|boost': 0.5006531529245696}\n",
      " > iteration 2/50, took 0:01:16 (remains: 1:01:20)\n",
      "   | 0.2300 (best: 0.2345) - {'url|boost': 1.1889895874558045, 'title|boost': 2.9181231644829526, 'title_bigrams|boost': 9.047851285364732, 'body|boost': 5.739947073293478, 'body_bigrams|boost': 2.1298461201077994}\n",
      " > iteration 3/50, took 0:01:10 (remains: 0:55:28)\n",
      "   | 0.2570 (best: 0.2570) - {'url|boost': 1.4043415809698447, 'title|boost': 8.681634215151325, 'title_bigrams|boost': 5.400657333981491, 'body|boost': 7.490654268448649, 'body_bigrams|boost': 5.131752248706935}\n",
      " > iteration 4/50, took 0:01:18 (remains: 1:00:21)\n",
      "   | 0.2215 (best: 0.2570) - {'url|boost': 9.110573365296906, 'title|boost': 6.709591628321934, 'title_bigrams|boost': 7.528038566159307, 'body|boost': 0.260178886706195, 'body_bigrams|boost': 6.396696660586345}\n",
      " > iteration 5/50, took 0:01:20 (remains: 1:00:12)\n",
      "   | 0.2378 (best: 0.2570) - {'url|boost': 4.029158101642162, 'title|boost': 1.8899252104812332, 'title_bigrams|boost': 9.027770024611243, 'body|boost': 6.542350484527423, 'body_bigrams|boost': 3.0488236745723856}\n",
      " > iteration 6/50, took 0:01:19 (remains: 0:58:39)\n",
      "   | 0.2299 (best: 0.2570) - {'url|boost': 2.8183409927472365, 'title|boost': 9.913347888428689, 'title_bigrams|boost': 5.557317115194822, 'body|boost': 3.324325836252779, 'body_bigrams|boost': 1.169130507447165}\n",
      " > iteration 7/50, took 0:01:19 (remains: 0:56:53)\n",
      "   | 0.2208 (best: 0.2570) - {'url|boost': 4.255068981559472, 'title|boost': 1.984301747486474, 'title_bigrams|boost': 7.957990708522489, 'body|boost': 1.6868013100986115, 'body_bigrams|boost': 8.25376885859132}\n",
      " > iteration 8/50, took 0:01:20 (remains: 0:56:37)\n",
      "   | 0.2454 (best: 0.2570) - {'url|boost': 0.1571036662182357, 'title|boost': 8.415725324645889, 'title_bigrams|boost': 2.000690192587999, 'body|boost': 1.1597420372138858, 'body_bigrams|boost': 4.670933780837689}\n",
      " > iteration 9/50, took 0:01:11 (remains: 0:49:03)\n",
      "   | 0.2419 (best: 0.2570) - {'url|boost': 1.2246302066246786, 'title|boost': 1.4033948555830091, 'title_bigrams|boost': 2.4198792204506785, 'body|boost': 2.673673572318123, 'body_bigrams|boost': 4.694429097779564}\n",
      " > iteration 10/50, took 0:01:20 (remains: 0:53:43)\n",
      "   | 0.2560 (best: 0.2570) - {'url|boost': 8.907200650008019, 'title|boost': 5.14697533348746, 'title_bigrams|boost': 2.8930970808626717, 'body|boost': 7.7112350577665545, 'body_bigrams|boost': 7.993548959138805}\n",
      " > iteration 11/50, took 0:01:21 (remains: 0:52:49)\n",
      "   | 0.2552 (best: 0.2570) - {'url|boost': 3.305712024697465, 'title|boost': 6.976747708708917, 'title_bigrams|boost': 5.6657295943759065, 'body|boost': 8.022285715446008, 'body_bigrams|boost': 2.324577868690569}\n",
      " > iteration 12/50, took 0:01:19 (remains: 0:50:33)\n",
      "   | 0.2445 (best: 0.2570) - {'url|boost': 6.265030665882603, 'title|boost': 0.42530787368097017, 'title_bigrams|boost': 6.70972078490073, 'body|boost': 6.641694016188531, 'body_bigrams|boost': 8.176393401392808}\n",
      " > iteration 13/50, took 0:01:20 (remains: 0:49:29)\n",
      "   | 0.2313 (best: 0.2570) - {'url|boost': 1.3800590335619736, 'title|boost': 4.0092312715356275, 'title_bigrams|boost': 8.809884287627147, 'body|boost': 5.0055330463458, 'body_bigrams|boost': 9.260590561255059}\n",
      " > iteration 14/50, took 0:01:13 (remains: 0:43:57)\n",
      "   | 0.2454 (best: 0.2570) - {'url|boost': 0.5332849054956857, 'title|boost': 0.2700148208546705, 'title_bigrams|boost': 7.650986114892609, 'body|boost': 9.556389972458172, 'body_bigrams|boost': 0.5140111948781502}\n",
      " > iteration 15/50, took 0:01:20 (remains: 0:47:11)\n",
      "   | 0.2644 (best: 0.2644) - {'url|boost': 6.6703087253573035, 'title|boost': 5.2411549907597985, 'title_bigrams|boost': 1.7993845706593683, 'body|boost': 8.5385348721989, 'body_bigrams|boost': 4.223298810323838}\n",
      " > iteration 16/50, took 0:01:24 (remains: 0:47:58)\n",
      "   | 0.2486 (best: 0.2644) - {'url|boost': 6.762037114623815, 'title|boost': 2.094288199852499, 'title_bigrams|boost': 5.252895102033682, 'body|boost': 5.707725531705594, 'body_bigrams|boost': 5.435514558579094}\n",
      " > iteration 17/50, took 0:01:20 (remains: 0:44:08)\n",
      "   | 0.2395 (best: 0.2644) - {'url|boost': 1.1913490008445151, 'title|boost': 3.311842827617883, 'title_bigrams|boost': 6.639795583363172, 'body|boost': 4.572148362103241, 'body_bigrams|boost': 4.7804233197003745}\n",
      " > iteration 18/50, took 0:01:20 (remains: 0:43:00)\n",
      "   | 0.2457 (best: 0.2644) - {'url|boost': 5.864316158708592, 'title|boost': 1.4186406529959552, 'title_bigrams|boost': 7.138637063411185, 'body|boost': 6.360210281616807, 'body_bigrams|boost': 3.889780653498799}\n",
      " > iteration 19/50, took 0:01:12 (remains: 0:37:41)\n",
      "   | 0.2536 (best: 0.2644) - {'url|boost': 7.776200446259805, 'title|boost': 0.10901237243171936, 'title_bigrams|boost': 2.1574316918661056, 'body|boost': 7.361293186829623, 'body_bigrams|boost': 7.9220997389818475}\n",
      " > iteration 20/50, took 0:01:12 (remains: 0:36:06)\n",
      "   | 0.2494 (best: 0.2644) - {'url|boost': 3.5001480995009175, 'title|boost': 8.487999894293663, 'title_bigrams|boost': 9.419553084334213, 'body|boost': 9.43607561290597, 'body_bigrams|boost': 9.40797221848397}\n",
      " > iteration 21/50, took 0:01:20 (remains: 0:38:52)\n",
      "   | 0.2668 (best: 0.2668) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.709015663987576}\n",
      " > iteration 22/50, took 0:01:22 (remains: 0:38:16)\n",
      "   | 0.2590 (best: 0.2668) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
      " > iteration 23/50, took 0:01:11 (remains: 0:32:12)\n",
      "   | 0.2441 (best: 0.2668) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'body_bigrams|boost': 10.0}\n",
      " > iteration 24/50, took 0:01:12 (remains: 0:31:27)\n",
      "   | 0.2651 (best: 0.2668) - {'url|boost': 8.318538817895302, 'title|boost': 1.8992167719261914, 'title_bigrams|boost': 0.07914452565873532, 'body|boost': 7.9794483157366365, 'body_bigrams|boost': 0.34941838506440953}\n",
      " > iteration 25/50, took 0:01:20 (remains: 0:33:33)\n",
      "   | 0.2674 (best: 0.2674) - {'url|boost': 3.354795097315129, 'title|boost': 9.888666891964439, 'title_bigrams|boost': 0.1510429837056715, 'body|boost': 6.398640728523387, 'body_bigrams|boost': 4.019042816036517}\n",
      " > iteration 26/50, took 0:01:11 (remains: 0:28:34)\n",
      "   | 0.2211 (best: 0.2674) - {'url|boost': 7.026675076173989, 'title|boost': 9.593953563161055, 'title_bigrams|boost': 0.23797811067885388, 'body|boost': 0.024210438699381456, 'body_bigrams|boost': 0.5221787165042844}\n",
      " > iteration 27/50, took 0:01:21 (remains: 0:31:03)\n",
      "   | 0.2665 (best: 0.2674) - {'url|boost': 4.815644200603005, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 28/50, took 0:01:12 (remains: 0:26:40)\n",
      "   | 0.2565 (best: 0.2674) - {'url|boost': 4.590161307161554, 'title|boost': 0.17350041891554316, 'title_bigrams|boost': 1.47044635378386, 'body|boost': 9.969436585850255, 'body_bigrams|boost': 7.202497738420174}\n",
      " > iteration 29/50, took 0:01:20 (remains: 0:28:04)\n",
      "   | 0.2629 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.982974206063529, 'body_bigrams|boost': 1.9590075863472303}\n",
      " > iteration 30/50, took 0:01:20 (remains: 0:26:46)\n",
      "   | 0.2498 (best: 0.2674) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.0621712603863878}\n",
      " > iteration 31/50, took 0:01:20 (remains: 0:25:22)\n",
      "   | 0.2587 (best: 0.2674) - {'url|boost': 1.7817357417790782, 'title|boost': 9.90795890931337, 'title_bigrams|boost': 0.0424967053621371, 'body|boost': 5.619603788966123, 'body_bigrams|boost': 8.72130563595732}\n",
      " > iteration 32/50, took 0:01:21 (remains: 0:24:25)\n",
      "   | 0.2666 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 33/50, took 0:01:20 (remains: 0:22:45)\n",
      "   | 0.2624 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
      " > iteration 34/50, took 0:01:21 (remains: 0:21:38)\n",
      "   | 0.2697 (best: 0.2697) - {'url|boost': 4.4456549932892, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 4.15407762153338}\n",
      " > iteration 35/50, took 0:01:22 (remains: 0:20:30)\n",
      "   | 0.2702 (best: 0.2702) - {'url|boost': 5.435085126441233, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.094189850273741, 'body_bigrams|boost': 2.7370930831094893}\n",
      " > iteration 36/50, took 0:01:20 (remains: 0:18:46)\n",
      "   | 0.2524 (best: 0.2702) - {'url|boost': 9.654229509275398, 'title|boost': 0.03448327757737069, 'title_bigrams|boost': 7.159111325401039, 'body|boost': 9.882105074467834, 'body_bigrams|boost': 6.1106660315666055}\n",
      " > iteration 37/50, took 0:01:21 (remains: 0:17:33)\n",
      "   | 0.2689 (best: 0.2702) - {'url|boost': 5.34795293381925, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.626365352991352, 'body_bigrams|boost': 4.741452778360825}\n",
      " > iteration 38/50, took 0:01:12 (remains: 0:14:34)\n",
      "   | 0.2467 (best: 0.2702) - {'url|boost': 9.887616746599353, 'title|boost': 9.972796782433173, 'title_bigrams|boost': 8.901668604939697, 'body|boost': 7.33610984708553, 'body_bigrams|boost': 9.76731440931757}\n",
      " > iteration 39/50, took 0:01:21 (remains: 0:14:57)\n",
      "   | 0.2695 (best: 0.2702) - {'url|boost': 0.032384347344864846, 'title|boost': 9.760749684508127, 'title_bigrams|boost': 0.17413269229163755, 'body|boost': 6.559638701835563, 'body_bigrams|boost': 1.27342878885956}\n",
      " > iteration 40/50, took 0:01:21 (remains: 0:13:37)\n",
      "   | 0.2741 (best: 0.2741) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.13715008265412, 'body_bigrams|boost': 3.224820909433157}\n",
      " > iteration 41/50, took 0:01:20 (remains: 0:12:02)\n",
      "   | 0.2413 (best: 0.2741) - {'url|boost': 0.2393346890708648, 'title|boost': 9.818400156146682, 'title_bigrams|boost': 0.10582612031179496, 'body|boost': 0.4532948666619974, 'body_bigrams|boost': 9.649165310035077}\n",
      " > iteration 42/50, took 0:01:20 (remains: 0:10:45)\n",
      "   | 0.2770 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
      " > iteration 43/50, took 0:01:12 (remains: 0:08:24)\n",
      "   | 0.2338 (best: 0.2770) - {'url|boost': 9.964020496628468, 'title|boost': 1.0935000922592233, 'title_bigrams|boost': 0.07511926306813078, 'body|boost': 0.9763922288593598, 'body_bigrams|boost': 9.900306936420858}\n",
      " > iteration 44/50, took 0:01:19 (remains: 0:07:58)\n",
      "   | 0.2437 (best: 0.2770) - {'url|boost': 0.19714136681191155, 'title|boost': 9.769886811876603, 'title_bigrams|boost': 9.7444973906314, 'body|boost': 9.247320619354433, 'body_bigrams|boost': 1.7285978355849687}\n",
      " > iteration 45/50, took 0:01:19 (remains: 0:06:38)\n",
      "   | 0.2437 (best: 0.2770) - {'url|boost': 9.844946972531265, 'title|boost': 0.6435797567642733, 'title_bigrams|boost': 0.20159836709140014, 'body|boost': 1.2285767271558514, 'body_bigrams|boost': 0.798617964133136}\n",
      " > iteration 46/50, took 0:01:21 (remains: 0:05:24)\n",
      "   | 0.2760 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.5139687997941222}\n",
      " > iteration 47/50, took 0:01:20 (remains: 0:04:01)\n",
      "   | 0.2758 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.327166002410171}\n",
      " > iteration 48/50, took 0:01:21 (remains: 0:02:43)\n",
      "   | 0.2756 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 9.106141964685746, 'title_bigrams|boost': 0.0, 'body|boost': 9.390140684791577, 'body_bigrams|boost': 1.9220889146114974}\n",
      " > iteration 49/50, took 0:01:21 (remains: 0:01:21)\n",
      "   | 0.2623 (best: 0.2770) - {'url|boost': 9.575079079556948, 'title|boost': 1.6269823284157339, 'title_bigrams|boost': 0.2452726755204438, 'body|boost': 9.776341042906031, 'body_bigrams|boost': 3.4212285042022765}\n",
      " > iteration 50/50, took 0:01:12 (remains: 0:00:00)\n",
      "   | 0.2478 (best: 0.2770) - {'url|boost': 9.889509667562585, 'title|boost': 8.652187864328262, 'title_bigrams|boost': 7.984628605793011, 'body|boost': 9.851764811457146, 'body_bigrams|boost': 5.3057038678571145}\n",
      "Best score: 0.2770\n",
      "Best params: {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
      "Final params: {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
      "\n",
      "CPU times: user 1min 10s, sys: 16.2 s, total: 1min 26s\n",
      "Wall time: 1h 5min 24s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2978\n",
      "CPU times: user 1.88 s, sys: 520 ms, total: 2.4 s\n",
      "Wall time: 5min 29s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 0.0,\n",
       " 'title|boost': 10.0,\n",
       " 'title_bigrams|boost': 0.0,\n",
       " 'body|boost': 9.035142069269364,\n",
       " 'body_bigrams|boost': 2.164255730827308}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + expansions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "_templates = deepcopy(base_templates)\n",
    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
    "    \"type\": query_type,\n",
    "    \"query\": \"{{query_string}}\",\n",
    "    \"fields\": [\n",
    "        \"url^{{url|boost}}\",\n",
    "        \"title^{{title|boost}}\",\n",
    "        \"body^{{body|boost}}\",\n",
    "        \"expansions^{{expansions|boost}}\",\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3269\n",
      "CPU times: user 2.36 s, sys: 709 ms, total: 3.07 s\n",
      "Wall time: 3min 3s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:00:40 (remains: 0:32:48)\n",
      "   | 0.3059 (best: 0.3059) - {'url|boost': 5.00796046814467, 'title|boost': 4.467783894901453, 'body|boost': 4.3421341461708085, 'expansions|boost': 5.800312865732512}\n",
      " > iteration 2/50, took 0:00:31 (remains: 0:25:22)\n",
      "   | 0.3063 (best: 0.3063) - {'url|boost': 9.900212103351505, 'title|boost': 2.9678411831352585, 'body|boost': 4.210396805793027, 'expansions|boost': 9.58146939432874}\n",
      " > iteration 3/50, took 0:00:20 (remains: 0:15:44)\n",
      "   | 0.2237 (best: 0.3063) - {'url|boost': 4.115460476754257, 'title|boost': 7.566511649035447, 'body|boost': 0.20180602959628205, 'expansions|boost': 0.1320712195305707}\n",
      " > iteration 4/50, took 0:00:30 (remains: 0:23:44)\n",
      "   | 0.3127 (best: 0.3127) - {'url|boost': 1.2764646941966853, 'title|boost': 3.816396715312197, 'body|boost': 4.726679031773983, 'expansions|boost': 5.8792360018202725}\n",
      " > iteration 5/50, took 0:00:32 (remains: 0:24:02)\n",
      "   | 0.2999 (best: 0.3127) - {'url|boost': 2.61059562566543, 'title|boost': 0.9923812123152744, 'body|boost': 0.9052491073198311, 'expansions|boost': 1.8310494948242064}\n",
      " > iteration 6/50, took 0:00:33 (remains: 0:24:28)\n",
      "   | 0.2923 (best: 0.3127) - {'url|boost': 7.656574450677256, 'title|boost': 9.974673133484483, 'body|boost': 8.11325645734777, 'expansions|boost': 4.99089238286629}\n",
      " > iteration 7/50, took 0:00:32 (remains: 0:23:12)\n",
      "   | 0.3072 (best: 0.3127) - {'url|boost': 8.617979847304605, 'title|boost': 5.30864463276155, 'body|boost': 8.806017510544718, 'expansions|boost': 9.62836532315931}\n",
      " > iteration 8/50, took 0:00:33 (remains: 0:23:47)\n",
      "   | 0.2987 (best: 0.3127) - {'url|boost': 9.31179489818756, 'title|boost': 6.153711682830517, 'body|boost': 6.873026866176563, 'expansions|boost': 6.621238163063282}\n",
      " > iteration 9/50, took 0:00:31 (remains: 0:21:26)\n",
      "   | 0.2954 (best: 0.3127) - {'url|boost': 3.848373065314876, 'title|boost': 2.7127360245089633, 'body|boost': 1.8076798200297997, 'expansions|boost': 3.1519101155398928}\n",
      " > iteration 10/50, took 0:00:35 (remains: 0:23:47)\n",
      "   | 0.2950 (best: 0.3127) - {'url|boost': 5.385185393854909, 'title|boost': 2.8573828137016672, 'body|boost': 6.188653563983538, 'expansions|boost': 2.2066458474161137}\n",
      " > iteration 11/50, took 0:00:32 (remains: 0:21:04)\n",
      "   | 0.2976 (best: 0.3127) - {'url|boost': 5.295454833702386, 'title|boost': 9.905948701913154, 'body|boost': 5.510797022368619, 'expansions|boost': 6.412923410576824}\n",
      " > iteration 12/50, took 0:00:31 (remains: 0:20:03)\n",
      "   | 0.3019 (best: 0.3127) - {'url|boost': 7.5170625584010065, 'title|boost': 3.985172220796054, 'body|boost': 3.691978606893698, 'expansions|boost': 6.987024603679326}\n",
      " > iteration 13/50, took 0:00:25 (remains: 0:15:43)\n",
      "   | 0.3114 (best: 0.3127) - {'url|boost': 4.1404256030531155, 'title|boost': 4.679912415704099, 'body|boost': 6.6831545592406405, 'expansions|boost': 8.15580958851153}\n",
      " > iteration 14/50, took 0:00:33 (remains: 0:20:17)\n",
      "   | 0.2802 (best: 0.3127) - {'url|boost': 9.684557915744751, 'title|boost': 8.2946284879942, 'body|boost': 0.5684468349618622, 'expansions|boost': 5.7706148699945095}\n",
      " > iteration 15/50, took 0:00:33 (remains: 0:19:41)\n",
      "   | 0.2668 (best: 0.3127) - {'url|boost': 6.151741820645894, 'title|boost': 6.798513185498265, 'body|boost': 7.7732880205312105, 'expansions|boost': 0.1830156934226446}\n",
      " > iteration 16/50, took 0:00:26 (remains: 0:15:13)\n",
      "   | 0.3043 (best: 0.3127) - {'url|boost': 0.6912476444053396, 'title|boost': 1.421240690982233, 'body|boost': 9.013399975805966, 'expansions|boost': 4.059143044428627}\n",
      " > iteration 17/50, took 0:00:22 (remains: 0:12:12)\n",
      "   | 0.2740 (best: 0.3127) - {'url|boost': 4.014859636073755, 'title|boost': 0.5538254488797868, 'body|boost': 0.13219775509305645, 'expansions|boost': 1.2537371712258019}\n",
      " > iteration 18/50, took 0:00:23 (remains: 0:12:36)\n",
      "   | 0.2955 (best: 0.3127) - {'url|boost': 7.803562438929433, 'title|boost': 8.372702701386562, 'body|boost': 3.5474507687318853, 'expansions|boost': 8.648391375297622}\n",
      " > iteration 19/50, took 0:00:32 (remains: 0:16:39)\n",
      "   | 0.2999 (best: 0.3127) - {'url|boost': 7.986031597551885, 'title|boost': 6.200569079316068, 'body|boost': 4.7903961601586245, 'expansions|boost': 7.467556883533274}\n",
      " > iteration 20/50, took 0:00:34 (remains: 0:17:08)\n",
      "   | 0.3068 (best: 0.3127) - {'url|boost': 3.696350620619255, 'title|boost': 5.959477378265172, 'body|boost': 7.385294870588694, 'expansions|boost': 6.190462829848743}\n",
      " > iteration 21/50, took 0:00:16 (remains: 0:08:04)\n",
      "   | 0.3059 (best: 0.3127) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
      " > iteration 22/50, took 0:00:26 (remains: 0:12:10)\n",
      "   | 0.3090 (best: 0.3127) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 23/50, took 0:00:22 (remains: 0:10:05)\n",
      "   | 0.3129 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.876734415493556, 'expansions|boost': 5.821203587945371}\n",
      " > iteration 24/50, took 0:00:32 (remains: 0:13:56)\n",
      "   | 0.3084 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 25/50, took 0:00:27 (remains: 0:11:25)\n",
      "   | 0.3096 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 8.639949140248856}\n",
      " > iteration 26/50, took 0:00:17 (remains: 0:07:00)\n",
      "   | 0.3059 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 6.170357098864516}\n",
      " > iteration 27/50, took 0:00:19 (remains: 0:07:38)\n",
      "   | 0.3127 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.3809337890459865, 'expansions|boost': 10.0}\n",
      " > iteration 28/50, took 0:00:25 (remains: 0:09:24)\n",
      "   | 0.3106 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.55462660845322, 'expansions|boost': 5.6647685971171855}\n",
      " > iteration 29/50, took 0:00:26 (remains: 0:09:22)\n",
      "   | 0.3117 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 4.6342427890641975, 'body|boost': 6.380149112533452, 'expansions|boost': 10.0}\n",
      " > iteration 30/50, took 0:00:29 (remains: 0:09:41)\n",
      "   | 0.3068 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.6133857613593221, 'body|boost': 10.0, 'expansions|boost': 7.711295029762672}\n",
      " > iteration 31/50, took 0:00:30 (remains: 0:09:39)\n",
      "   | 0.3104 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 4.873081329226892, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 32/50, took 0:00:19 (remains: 0:05:44)\n",
      "   | 0.2412 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 0.0}\n",
      " > iteration 33/50, took 0:00:19 (remains: 0:05:37)\n",
      "   | 0.3053 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.28972525398892657, 'body|boost': 0.0, 'expansions|boost': 8.284149869288763}\n",
      " > iteration 34/50, took 0:00:37 (remains: 0:09:55)\n",
      "   | 0.2942 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 8.894609724266026, 'body|boost': 10.0, 'expansions|boost': 2.5445038788504175}\n",
      " > iteration 35/50, took 0:00:19 (remains: 0:04:56)\n",
      "   | 0.2827 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 9.256665396543264, 'body|boost': 0.0, 'expansions|boost': 4.6847171208827305}\n",
      " > iteration 36/50, took 0:00:36 (remains: 0:08:27)\n",
      "   | 0.2959 (best: 0.3129) - {'url|boost': 10.0, 'title|boost': 0.24829012336818684, 'body|boost': 10.0, 'expansions|boost': 3.684145975627198}\n",
      " > iteration 37/50, took 0:00:22 (remains: 0:04:52)\n",
      "   | 0.3125 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.318435347249467, 'expansions|boost': 8.255130782995394}\n",
      " > iteration 38/50, took 0:00:25 (remains: 0:05:09)\n",
      "   | 0.3075 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 8.295845655374393}\n",
      " > iteration 39/50, took 0:00:15 (remains: 0:02:53)\n",
      "   | 0.3141 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
      " > iteration 40/50, took 0:00:21 (remains: 0:03:37)\n",
      "   | 0.2671 (best: 0.3141) - {'url|boost': 0.3407988393085606, 'title|boost': 9.26338801933018, 'body|boost': 0.1379854390186704, 'expansions|boost': 2.2814830076502464}\n",
      " > iteration 41/50, took 0:00:23 (remains: 0:03:34)\n",
      "   | 0.2945 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
      " > iteration 42/50, took 0:00:18 (remains: 0:02:25)\n",
      "   | 0.3065 (best: 0.3141) - {'url|boost': 0.41915044878098107, 'title|boost': 0.46383555286800915, 'body|boost': 0.042545346903628406, 'expansions|boost': 4.7034757524530475}\n",
      " > iteration 43/50, took 0:00:26 (remains: 0:03:08)\n",
      "   | 0.3097 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.19518657290379, 'expansions|boost': 3.927099992678186}\n",
      " > iteration 44/50, took 0:00:32 (remains: 0:03:16)\n",
      "   | 0.3082 (best: 0.3141) - {'url|boost': 9.692164502845992, 'title|boost': 0.6219885234344004, 'body|boost': 8.134068749901513, 'expansions|boost': 9.68178375036134}\n",
      " > iteration 45/50, took 0:00:30 (remains: 0:02:33)\n",
      "   | 0.2925 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 2.700501910561221}\n",
      " > iteration 46/50, took 0:00:14 (remains: 0:00:57)\n",
      "   | 0.3125 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.723516010870653, 'expansions|boost': 8.855129876586204}\n",
      " > iteration 47/50, took 0:00:18 (remains: 0:00:55)\n",
      "   | 0.3122 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 3.2965123566228707, 'body|boost': 6.964577056360735, 'expansions|boost': 8.92684476600938}\n",
      " > iteration 48/50, took 0:00:24 (remains: 0:00:48)\n",
      "   | 0.3087 (best: 0.3141) - {'url|boost': 0.7507562496544974, 'title|boost': 0.9246942550158411, 'body|boost': 9.861288914674088, 'expansions|boost': 6.19335736011701}\n",
      " > iteration 49/50, took 0:00:35 (remains: 0:00:35)\n",
      "   | 0.3073 (best: 0.3141) - {'url|boost': 0.13208701730012654, 'title|boost': 5.833070135499916, 'body|boost': 9.941284999911005, 'expansions|boost': 6.395775543572178}\n",
      " > iteration 50/50, took 0:00:23 (remains: 0:00:00)\n",
      "   | 0.3118 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.693945449245591, 'expansions|boost': 7.100066685641848}\n",
      "Best score: 0.3141\n",
      "Best params: {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
      "Final params: {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
      "\n",
      "CPU times: user 1min 11s, sys: 16.1 s, total: 1min 27s\n",
      "Wall time: 22min 40s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3292\n",
      "CPU times: user 1.9 s, sys: 525 ms, total: 2.42 s\n",
      "Wall time: 2min 37s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 0.0,\n",
       " 'title|boost': 0.0,\n",
       " 'body|boost': 4.718961462119655,\n",
       " 'expansions|boost': 6.651327961195701}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + expansions + bigrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "_templates = deepcopy(base_templates)\n",
    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
    "    \"type\": query_type,\n",
    "    \"query\": \"{{query_string}}\",\n",
    "    \"fields\": [\n",
    "        \"url^{{url|boost}}\",\n",
    "        \"title^{{title|boost}}\",\n",
    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
    "        \"body^{{body|boost}}\",\n",
    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
    "        \"expansions^{{expansions|boost}}\",\n",
    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3203\n",
      "CPU times: user 2.49 s, sys: 789 ms, total: 3.27 s\n",
      "Wall time: 7min 8s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'title_bigrams|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'body_bigrams|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "    'expansions_bigrams|boost': 1.0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/100, took 0:01:32 (remains: 2:32:49)\n",
      "   | 0.2979 (best: 0.2979) - {'url|boost': 4.618073524497234, 'title|boost': 6.347797803061562, 'title_bigrams|boost': 4.612678587028035, 'body|boost': 8.760882962170575, 'body_bigrams|boost': 2.801913185073393, 'expansions|boost': 6.8038187155703875, 'expansions_bigrams|boost': 1.625454928483412}\n",
      " > iteration 2/100, took 0:01:30 (remains: 2:27:05)\n",
      "   | 0.2783 (best: 0.2979) - {'url|boost': 3.940247461430019, 'title|boost': 4.144918701613149, 'title_bigrams|boost': 6.804427187711721, 'body|boost': 4.809265927658287, 'body_bigrams|boost': 2.004720016733041, 'expansions|boost': 3.8320986376781874, 'expansions_bigrams|boost': 1.3469527218406365}\n",
      " > iteration 3/100, took 0:01:32 (remains: 2:28:59)\n",
      "   | 0.2724 (best: 0.2979) - {'url|boost': 0.5660704127591855, 'title|boost': 6.3519614035256735, 'title_bigrams|boost': 9.333579998841792, 'body|boost': 2.966956069583478, 'body_bigrams|boost': 1.212260530822821, 'expansions|boost': 4.24011940918531, 'expansions_bigrams|boost': 4.238691460954202}\n",
      " > iteration 4/100, took 0:01:31 (remains: 2:26:00)\n",
      "   | 0.2694 (best: 0.2979) - {'url|boost': 3.0559425150235824, 'title|boost': 6.071079010011326, 'title_bigrams|boost': 6.268170560391127, 'body|boost': 3.7883144182938144, 'body_bigrams|boost': 1.1865797759462962, 'expansions|boost': 1.0659899138161002, 'expansions_bigrams|boost': 3.883082198496809}\n",
      " > iteration 5/100, took 0:01:32 (remains: 2:26:52)\n",
      "   | 0.2785 (best: 0.2979) - {'url|boost': 3.2177670812040775, 'title|boost': 6.7884219937019195, 'title_bigrams|boost': 8.55094131389998, 'body|boost': 1.5343355449737885, 'body_bigrams|boost': 4.494356572128977, 'expansions|boost': 6.025925701309856, 'expansions_bigrams|boost': 3.6402441044286578}\n",
      " > iteration 6/100, took 0:01:25 (remains: 2:13:16)\n",
      "   | 0.3002 (best: 0.3002) - {'url|boost': 9.819604996050973, 'title|boost': 8.156397692528717, 'title_bigrams|boost': 2.1408654150247637, 'body|boost': 9.343057430976746, 'body_bigrams|boost': 5.6215170390388085, 'expansions|boost': 8.627698807533902, 'expansions_bigrams|boost': 4.876020686561702}\n",
      " > iteration 7/100, took 0:01:32 (remains: 2:23:31)\n",
      "   | 0.2631 (best: 0.3002) - {'url|boost': 6.0806314816219516, 'title|boost': 0.7302148774887208, 'title_bigrams|boost': 9.174194929026632, 'body|boost': 5.092689383526578, 'body_bigrams|boost': 9.368396500347341, 'expansions|boost': 0.8987962516389382, 'expansions_bigrams|boost': 7.618101021146644}\n",
      " > iteration 8/100, took 0:01:25 (remains: 2:10:46)\n",
      "   | 0.2905 (best: 0.3002) - {'url|boost': 9.167564374590558, 'title|boost': 3.678449483276655, 'title_bigrams|boost': 4.03043381140877, 'body|boost': 8.283889867310073, 'body_bigrams|boost': 7.352945935809181, 'expansions|boost': 5.127725220106745, 'expansions_bigrams|boost': 4.524001548492352}\n",
      " > iteration 9/100, took 0:01:25 (remains: 2:08:57)\n",
      "   | 0.3006 (best: 0.3006) - {'url|boost': 3.613591897340544, 'title|boost': 0.48186953980499225, 'title_bigrams|boost': 4.098461116756464, 'body|boost': 6.273737878281629, 'body_bigrams|boost': 8.786986040987514, 'expansions|boost': 8.671199110685835, 'expansions_bigrams|boost': 9.867396555745085}\n",
      " > iteration 10/100, took 0:01:24 (remains: 2:06:38)\n",
      "   | 0.2755 (best: 0.3006) - {'url|boost': 3.591546562271635, 'title|boost': 9.481169307136994, 'title_bigrams|boost': 9.418283375599412, 'body|boost': 4.111022077840239, 'body_bigrams|boost': 0.7488016216560646, 'expansions|boost': 7.924348992583363, 'expansions_bigrams|boost': 0.4344180155985445}\n",
      " > iteration 11/100, took 0:01:32 (remains: 2:16:48)\n",
      "   | 0.2805 (best: 0.3006) - {'url|boost': 7.6241812753012415, 'title|boost': 4.5193432342211945, 'title_bigrams|boost': 5.753366684977217, 'body|boost': 1.0333595153941912, 'body_bigrams|boost': 1.6838781865155974, 'expansions|boost': 4.134920053808207, 'expansions_bigrams|boost': 4.135933052135759}\n",
      " > iteration 12/100, took 0:01:24 (remains: 2:03:59)\n",
      "   | 0.2631 (best: 0.3006) - {'url|boost': 2.986638427598624, 'title|boost': 4.978728926462096, 'title_bigrams|boost': 8.152900254285303, 'body|boost': 2.712604468655457, 'body_bigrams|boost': 8.784675591636246, 'expansions|boost': 1.160926524649514, 'expansions_bigrams|boost': 9.182233150875218}\n",
      " > iteration 13/100, took 0:01:24 (remains: 2:03:13)\n",
      "   | 0.2865 (best: 0.3006) - {'url|boost': 5.506811403916986, 'title|boost': 3.594228697926594, 'title_bigrams|boost': 6.143958512110742, 'body|boost': 7.1791392315589935, 'body_bigrams|boost': 0.04041762814889661, 'expansions|boost': 4.558582243561292, 'expansions_bigrams|boost': 1.1495297779424176}\n",
      " > iteration 14/100, took 0:01:31 (remains: 2:11:47)\n",
      "   | 0.2487 (best: 0.3006) - {'url|boost': 4.0710437809456845, 'title|boost': 0.841786033844878, 'title_bigrams|boost': 9.808239251164325, 'body|boost': 0.8088985935832272, 'body_bigrams|boost': 7.0677406932984095, 'expansions|boost': 0.09496556338243646, 'expansions_bigrams|boost': 9.561581571871884}\n",
      " > iteration 15/100, took 0:01:32 (remains: 2:11:32)\n",
      "   | 0.2680 (best: 0.3006) - {'url|boost': 9.99561142478414, 'title|boost': 3.834599941730371, 'title_bigrams|boost': 2.1080833949279603, 'body|boost': 9.695233064952438, 'body_bigrams|boost': 9.81104235264356, 'expansions|boost': 0.5887618006316265, 'expansions_bigrams|boost': 3.028123666638724}\n",
      " > iteration 16/100, took 0:01:31 (remains: 2:08:05)\n",
      "   | 0.2931 (best: 0.3006) - {'url|boost': 7.42029710981064, 'title|boost': 9.304397018224718, 'title_bigrams|boost': 2.5570785293850657, 'body|boost': 5.55677995148972, 'body_bigrams|boost': 7.527754491645599, 'expansions|boost': 4.8807212437958345, 'expansions_bigrams|boost': 6.099752082286378}\n",
      " > iteration 17/100, took 0:01:32 (remains: 2:08:29)\n",
      "   | 0.2973 (best: 0.3006) - {'url|boost': 1.0806673319904294, 'title|boost': 5.880622277616854, 'title_bigrams|boost': 3.3376075401599055, 'body|boost': 4.82675576541343, 'body_bigrams|boost': 8.466979094863529, 'expansions|boost': 9.556186058773594, 'expansions_bigrams|boost': 6.060847235194622}\n",
      " > iteration 18/100, took 0:01:24 (remains: 1:55:58)\n",
      "   | 0.2876 (best: 0.3006) - {'url|boost': 9.112233735829001, 'title|boost': 3.7417560054240533, 'title_bigrams|boost': 7.554454765390844, 'body|boost': 7.488719267040565, 'body_bigrams|boost': 9.513593391995693, 'expansions|boost': 7.878441408799354, 'expansions_bigrams|boost': 3.473367409656381}\n",
      " > iteration 19/100, took 0:01:31 (remains: 2:03:53)\n",
      "   | 0.3104 (best: 0.3104) - {'url|boost': 3.9605746976736453, 'title|boost': 7.005774376127563, 'title_bigrams|boost': 1.808911251236395, 'body|boost': 9.144073043549497, 'body_bigrams|boost': 1.1908422216403072, 'expansions|boost': 8.281870841520904, 'expansions_bigrams|boost': 1.6758615564443282}\n",
      " > iteration 20/100, took 0:01:26 (remains: 1:55:04)\n",
      "   | 0.2971 (best: 0.3104) - {'url|boost': 8.811389531067167, 'title|boost': 4.440214167760317, 'title_bigrams|boost': 4.209461602745538, 'body|boost': 3.2877029166313516, 'body_bigrams|boost': 2.5993930992162935, 'expansions|boost': 6.661217492332141, 'expansions_bigrams|boost': 6.117727345182635}\n",
      " > iteration 21/100, took 0:01:33 (remains: 2:03:21)\n",
      "   | 0.3084 (best: 0.3104) - {'url|boost': 0.0, 'title|boost': 5.521848451255122, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.869216208721262, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 22/100, took 0:01:31 (remains: 1:59:35)\n",
      "   | 0.3090 (best: 0.3104) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 23/100, took 0:01:32 (remains: 1:58:52)\n",
      "   | 0.3044 (best: 0.3104) - {'url|boost': 6.909441621728663, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 24/100, took 0:01:26 (remains: 1:49:29)\n",
      "   | 0.3042 (best: 0.3104) - {'url|boost': 4.588426665060828, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 25/100, took 0:01:34 (remains: 1:57:35)\n",
      "   | 0.3092 (best: 0.3104) - {'url|boost': 0.6031300638331473, 'title|boost': 0.7972186111662306, 'title_bigrams|boost': 0.02575229241624011, 'body|boost': 0.08272655986674039, 'body_bigrams|boost': 2.042228556070323, 'expansions|boost': 6.370142701974033, 'expansions_bigrams|boost': 1.8616641883652731}\n",
      " > iteration 26/100, took 0:01:34 (remains: 1:56:11)\n",
      "   | 0.2980 (best: 0.3104) - {'url|boost': 9.83553897199484, 'title|boost': 0.3630470354437743, 'title_bigrams|boost': 0.13468158231487395, 'body|boost': 2.9047222784896105, 'body_bigrams|boost': 4.436897988907199, 'expansions|boost': 6.912047234590647, 'expansions_bigrams|boost': 0.46228805528462874}\n",
      " > iteration 27/100, took 0:01:34 (remains: 1:54:37)\n",
      "   | 0.3001 (best: 0.3104) - {'url|boost': 0.11505658742914428, 'title|boost': 6.190745828934706, 'title_bigrams|boost': 0.09178994280667598, 'body|boost': 7.475238472963315, 'body_bigrams|boost': 6.216975447757319, 'expansions|boost': 3.3936330350720194, 'expansions_bigrams|boost': 9.570944502106878}\n",
      " > iteration 28/100, took 0:01:25 (remains: 1:43:03)\n",
      "   | 0.3122 (best: 0.3122) - {'url|boost': 0.32504644971893987, 'title|boost': 1.5132546532940585, 'title_bigrams|boost': 0.031374677271430736, 'body|boost': 8.832356420211228, 'body_bigrams|boost': 1.1850683501959693, 'expansions|boost': 6.62844776157174, 'expansions_bigrams|boost': 8.121698959023096}\n",
      " > iteration 29/100, took 0:01:34 (remains: 1:52:23)\n",
      "   | 0.2945 (best: 0.3122) - {'url|boost': 0.34458402204345934, 'title|boost': 2.256999500829237, 'title_bigrams|boost': 0.22198934936378148, 'body|boost': 0.6063306168896411, 'body_bigrams|boost': 7.891744431296872, 'expansions|boost': 8.046346739108008, 'expansions_bigrams|boost': 7.46897363634338}\n",
      " > iteration 30/100, took 0:01:26 (remains: 1:40:28)\n",
      "   | 0.3003 (best: 0.3122) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.722803686541841, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 31/100, took 0:01:26 (remains: 1:39:28)\n",
      "   | 0.3065 (best: 0.3122) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 3.782592093890604, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.120194564363821, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 32/100, took 0:01:33 (remains: 1:46:29)\n",
      "   | 0.3172 (best: 0.3172) - {'url|boost': 4.664306349884641, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.1345252910013, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.368320728590072, 'expansions_bigrams|boost': 5.081519067943089}\n",
      " > iteration 33/100, took 0:01:25 (remains: 1:35:31)\n",
      "   | 0.3127 (best: 0.3172) - {'url|boost': 6.222663776611631, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.688743799120564, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 34/100, took 0:01:33 (remains: 1:42:19)\n",
      "   | 0.2988 (best: 0.3172) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 35/100, took 0:01:34 (remains: 1:42:03)\n",
      "   | 0.3186 (best: 0.3186) - {'url|boost': 2.940239816587157, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.837031492354278, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.79721408795435, 'expansions_bigrams|boost': 3.1852010660259955}\n",
      " > iteration 36/100, took 0:01:33 (remains: 1:40:13)\n",
      "   | 0.3160 (best: 0.3186) - {'url|boost': 3.3186451832505064, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.928417635390948, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.909004417327605, 'expansions_bigrams|boost': 4.400670427164121}\n",
      " > iteration 37/100, took 0:01:34 (remains: 1:38:48)\n",
      "   | 0.3183 (best: 0.3186) - {'url|boost': 3.5573817647614736, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.804232057014952, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.230985960904071, 'expansions_bigrams|boost': 3.300940149126701}\n",
      " > iteration 38/100, took 0:01:26 (remains: 1:29:20)\n",
      "   | 0.2972 (best: 0.3186) - {'url|boost': 2.3323206505803444, 'title|boost': 2.6985107527720924, 'title_bigrams|boost': 9.88198384847305, 'body|boost': 9.281677372089419, 'body_bigrams|boost': 0.15415381731795577, 'expansions|boost': 9.887130519359365, 'expansions_bigrams|boost': 9.305813314473241}\n",
      " > iteration 39/100, took 0:01:32 (remains: 1:33:59)\n",
      "   | 0.2936 (best: 0.3186) - {'url|boost': 9.816973590763896, 'title|boost': 4.099901646552477, 'title_bigrams|boost': 0.4153368338462094, 'body|boost': 4.645675053850099, 'body_bigrams|boost': 0.29309285355313636, 'expansions|boost': 0.515598337418215, 'expansions_bigrams|boost': 9.280221072869471}\n",
      " > iteration 40/100, took 0:01:35 (remains: 1:35:02)\n",
      "   | 0.3167 (best: 0.3186) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.10746356104339, 'expansions_bigrams|boost': 3.2390332628496754}\n",
      " > iteration 41/100, took 0:01:33 (remains: 1:31:35)\n",
      "   | 0.2929 (best: 0.3186) - {'url|boost': 4.0768743177002795, 'title|boost': 7.248913179997824, 'title_bigrams|boost': 9.828102133537222, 'body|boost': 9.98233077934861, 'body_bigrams|boost': 9.19662190631821, 'expansions|boost': 9.847298833565677, 'expansions_bigrams|boost': 9.662682021232069}\n",
      " > iteration 42/100, took 0:01:31 (remains: 1:28:28)\n",
      "   | 0.3134 (best: 0.3186) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 4.93562906404088, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.500218670524056, 'expansions_bigrams|boost': 3.3172102552054605}\n",
      " > iteration 43/100, took 0:01:32 (remains: 1:28:20)\n",
      "   | 0.3178 (best: 0.3186) - {'url|boost': 4.111262668263759, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.037919391614444, 'expansions_bigrams|boost': 3.151366660127206}\n",
      " > iteration 44/100, took 0:01:33 (remains: 1:27:11)\n",
      "   | 0.3174 (best: 0.3186) - {'url|boost': 3.0407469566215584, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.753610702326148, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.134900961597035, 'expansions_bigrams|boost': 2.6593175024739835}\n",
      " > iteration 45/100, took 0:01:33 (remains: 1:26:06)\n",
      "   | 0.3046 (best: 0.3186) - {'url|boost': 9.035137353460717, 'title|boost': 1.2322772724063726, 'title_bigrams|boost': 0.46267894748886157, 'body|boost': 0.4349963783714717, 'body_bigrams|boost': 5.293078794963108, 'expansions|boost': 9.67632410686292, 'expansions_bigrams|boost': 9.890702338541718}\n",
      " > iteration 46/100, took 0:01:30 (remains: 1:21:43)\n",
      "   | 0.3023 (best: 0.3186) - {'url|boost': 3.4299633365863795, 'title|boost': 0.2928091647300269, 'title_bigrams|boost': 1.2035104773252017, 'body|boost': 9.6052550299929, 'body_bigrams|boost': 0.6418087900486481, 'expansions|boost': 0.3218501022973253, 'expansions_bigrams|boost': 8.971693786888897}\n",
      " > iteration 47/100, took 0:01:32 (remains: 1:21:34)\n",
      "   | 0.3169 (best: 0.3186) - {'url|boost': 2.882926654149358, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.242573962188292, 'expansions_bigrams|boost': 4.477509137499164}\n",
      " > iteration 48/100, took 0:01:26 (remains: 1:15:13)\n",
      "   | 0.3190 (best: 0.3190) - {'url|boost': 2.9222339747446613, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.680811996359077, 'expansions_bigrams|boost': 3.8642116838677154}\n",
      " > iteration 49/100, took 0:01:33 (remains: 1:19:24)\n",
      "   | 0.3182 (best: 0.3190) - {'url|boost': 2.8926034180846534, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.485803056560297, 'expansions_bigrams|boost': 3.8982834181380044}\n",
      " > iteration 50/100, took 0:01:32 (remains: 1:17:26)\n",
      "   | 0.2780 (best: 0.3190) - {'url|boost': 0.5274887651068495, 'title|boost': 1.6144370825901446, 'title_bigrams|boost': 0.16766518128011557, 'body|boost': 0.27167570814083614, 'body_bigrams|boost': 1.1787405467218206, 'expansions|boost': 0.05449755320497852, 'expansions_bigrams|boost': 4.351169438140301}\n",
      " > iteration 51/100, took 0:01:26 (remains: 1:10:41)\n",
      "   | 0.3005 (best: 0.3190) - {'url|boost': 3.201608983664343, 'title|boost': 1.379565719871937, 'title_bigrams|boost': 0.0222930734413096, 'body|boost': 6.149327425236637, 'body_bigrams|boost': 9.645446310484035, 'expansions|boost': 9.886305894420358, 'expansions_bigrams|boost': 0.5543856821058369}\n",
      " > iteration 52/100, took 0:01:24 (remains: 1:07:54)\n",
      "   | 0.2846 (best: 0.3190) - {'url|boost': 8.676194223972832, 'title|boost': 6.019081970937755, 'title_bigrams|boost': 9.164184401076875, 'body|boost': 0.46815381923559723, 'body_bigrams|boost': 1.3014389657006078, 'expansions|boost': 8.997475761064416, 'expansions_bigrams|boost': 9.97440667508346}\n",
      " > iteration 53/100, took 0:01:24 (remains: 1:06:04)\n",
      "   | 0.3087 (best: 0.3190) - {'url|boost': 9.580453650225948, 'title|boost': 5.518002421337206, 'title_bigrams|boost': 0.8398033517083149, 'body|boost': 5.368804227530658, 'body_bigrams|boost': 0.3419538290085323, 'expansions|boost': 9.89350602272156, 'expansions_bigrams|boost': 9.624483734198053}\n",
      " > iteration 54/100, took 0:01:31 (remains: 1:10:15)\n",
      "   | 0.2890 (best: 0.3190) - {'url|boost': 8.032395702069678, 'title|boost': 9.457597028320846, 'title_bigrams|boost': 6.081000663689312, 'body|boost': 9.380455609180713, 'body_bigrams|boost': 0.32626837940541004, 'expansions|boost': 2.620023404597755, 'expansions_bigrams|boost': 9.826861530586992}\n",
      " > iteration 55/100, took 0:01:26 (remains: 1:05:10)\n",
      "   | 0.3083 (best: 0.3190) - {'url|boost': 2.2559972935051436, 'title|boost': 0.8393649159771822, 'title_bigrams|boost': 5.489544532521999, 'body|boost': 9.49670451766735, 'body_bigrams|boost': 0.565508158549456, 'expansions|boost': 9.933413727837127, 'expansions_bigrams|boost': 2.9106381046975445}\n",
      " > iteration 56/100, took 0:01:33 (remains: 1:08:30)\n",
      "   | 0.3185 (best: 0.3190) - {'url|boost': 3.1321031587913266, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.956880487506957, 'expansions_bigrams|boost': 3.6015097469238704}\n",
      " > iteration 57/100, took 0:01:33 (remains: 1:07:12)\n",
      "   | 0.3096 (best: 0.3190) - {'url|boost': 8.555901724810887, 'title|boost': 3.030893990034182, 'title_bigrams|boost': 0.6951925742699817, 'body|boost': 9.566883633104485, 'body_bigrams|boost': 0.3463252714707366, 'expansions|boost': 9.510637903317091, 'expansions_bigrams|boost': 1.5392254726514034}\n",
      " > iteration 58/100, took 0:01:34 (remains: 1:05:58)\n",
      "   | 0.2970 (best: 0.3190) - {'url|boost': 2.954157345999469, 'title|boost': 1.3699818638975483, 'title_bigrams|boost': 0.11143356009598816, 'body|boost': 0.02288760660722811, 'body_bigrams|boost': 1.1442903775290172, 'expansions|boost': 3.7229975412445753, 'expansions_bigrams|boost': 9.940369501299738}\n",
      " > iteration 59/100, took 0:01:35 (remains: 1:05:00)\n",
      "   | 0.3172 (best: 0.3190) - {'url|boost': 3.3946595406472424, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.259521375119917, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.11010616858434, 'expansions_bigrams|boost': 3.1326981428690646}\n",
      " > iteration 60/100, took 0:01:25 (remains: 0:56:48)\n",
      "   | 0.3181 (best: 0.3190) - {'url|boost': 2.556624294192638, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.658834963380048, 'expansions_bigrams|boost': 4.310491447454405}\n",
      " > iteration 61/100, took 0:01:25 (remains: 0:55:15)\n",
      "   | 0.3160 (best: 0.3190) - {'url|boost': 3.1735325168488195, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.717226552369873, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.157857952033247, 'expansions_bigrams|boost': 3.432719357648745}\n",
      " > iteration 62/100, took 0:01:30 (remains: 0:57:14)\n",
      "   | 0.3039 (best: 0.3190) - {'url|boost': 9.14882626135004, 'title|boost': 5.355830293527659, 'title_bigrams|boost': 0.10393584154339443, 'body|boost': 0.14329222545308332, 'body_bigrams|boost': 0.7556343689644597, 'expansions|boost': 8.003561970492342, 'expansions_bigrams|boost': 6.064742770441372}\n",
      " > iteration 63/100, took 0:01:33 (remains: 0:57:45)\n",
      "   | 0.2975 (best: 0.3190) - {'url|boost': 9.742816095365672, 'title|boost': 1.9660866379069293, 'title_bigrams|boost': 0.9756265286534163, 'body|boost': 9.76485004449377, 'body_bigrams|boost': 9.369376510138506, 'expansions|boost': 5.009358681719728, 'expansions_bigrams|boost': 9.744248248043087}\n",
      " > iteration 64/100, took 0:01:30 (remains: 0:54:18)\n",
      "   | 0.3179 (best: 0.3190) - {'url|boost': 2.367175551211146, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.504259883151039, 'expansions_bigrams|boost': 4.611537792773854}\n",
      " > iteration 65/100, took 0:01:31 (remains: 0:53:16)\n",
      "   | 0.3104 (best: 0.3190) - {'url|boost': 1.4815280905324848, 'title|boost': 1.2692001267347066, 'title_bigrams|boost': 3.8618846270730742, 'body|boost': 9.926107633451862, 'body_bigrams|boost': 0.5602177176036794, 'expansions|boost': 6.801574102123558, 'expansions_bigrams|boost': 5.975822665669428}\n",
      " > iteration 66/100, took 0:01:34 (remains: 0:53:26)\n",
      "   | 0.3166 (best: 0.3190) - {'url|boost': 3.323060517143354, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.484955709905822, 'expansions_bigrams|boost': 4.053445588791016}\n",
      " > iteration 67/100, took 0:01:32 (remains: 0:50:47)\n",
      "   | 0.2610 (best: 0.3190) - {'url|boost': 0.047852640342812565, 'title|boost': 2.6049518607858886, 'title_bigrams|boost': 0.2914682167872951, 'body|boost': 9.404218729053294, 'body_bigrams|boost': 7.90594163345723, 'expansions|boost': 0.9869463629342359, 'expansions_bigrams|boost': 0.30955758376736703}\n",
      " > iteration 68/100, took 0:01:32 (remains: 0:49:04)\n",
      "   | 0.3095 (best: 0.3190) - {'url|boost': 7.748068404661906, 'title|boost': 1.9271014681991154, 'title_bigrams|boost': 0.15783803071911742, 'body|boost': 9.92473104996144, 'body_bigrams|boost': 1.0328637116841157, 'expansions|boost': 2.33892913793224, 'expansions_bigrams|boost': 7.311029192787487}\n",
      " > iteration 69/100, took 0:01:26 (remains: 0:44:50)\n",
      "   | 0.3151 (best: 0.3190) - {'url|boost': 2.6864065422197148, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.288528102123391, 'expansions_bigrams|boost': 6.075716673925241}\n",
      " > iteration 70/100, took 0:01:33 (remains: 0:46:35)\n",
      "   | 0.3170 (best: 0.3190) - {'url|boost': 7.8721466744644815, 'title|boost': 0.4723160069203637, 'title_bigrams|boost': 0.2844125633019379, 'body|boost': 8.376302238320376, 'body_bigrams|boost': 0.8018064632445466, 'expansions|boost': 9.970084953753034, 'expansions_bigrams|boost': 6.494898979260127}\n",
      " > iteration 71/100, took 0:01:29 (remains: 0:43:28)\n",
      "   | 0.3173 (best: 0.3190) - {'url|boost': 6.145010276891072, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.65997740844293}\n",
      " > iteration 72/100, took 0:01:28 (remains: 0:41:13)\n",
      "   | 0.3165 (best: 0.3190) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 7.271933212710974}\n",
      " > iteration 73/100, took 0:01:31 (remains: 0:40:59)\n",
      "   | 0.3018 (best: 0.3190) - {'url|boost': 9.376192008221789, 'title|boost': 0.002275595406471265, 'title_bigrams|boost': 3.8670435955047977, 'body|boost': 0.3269668695437001, 'body_bigrams|boost': 0.9951806080941275, 'expansions|boost': 9.61697381196144, 'expansions_bigrams|boost': 5.92303991262194}\n",
      " > iteration 74/100, took 0:01:34 (remains: 0:40:47)\n",
      "   | 0.3180 (best: 0.3190) - {'url|boost': 5.654914845919729, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.813392857566746}\n",
      " > iteration 75/100, took 0:01:34 (remains: 0:39:25)\n",
      "   | 0.3165 (best: 0.3190) - {'url|boost': 5.020395577053318, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.440082793726008, 'expansions_bigrams|boost': 4.843185758612115}\n",
      " > iteration 76/100, took 0:01:30 (remains: 0:36:12)\n",
      "   | 0.2920 (best: 0.3190) - {'url|boost': 0.09514065132103623, 'title|boost': 4.659122792713624, 'title_bigrams|boost': 8.280559881407994, 'body|boost': 9.62529279117628, 'body_bigrams|boost': 9.145816813087137, 'expansions|boost': 9.954264128207232, 'expansions_bigrams|boost': 1.3754819222137462}\n",
      " > iteration 77/100, took 0:01:29 (remains: 0:34:16)\n",
      "   | 0.2922 (best: 0.3190) - {'url|boost': 9.973405119191453, 'title|boost': 1.0556235671470173, 'title_bigrams|boost': 8.102494539480347, 'body|boost': 9.342032856891207, 'body_bigrams|boost': 0.1140153336076122, 'expansions|boost': 9.448745249431848, 'expansions_bigrams|boost': 0.7939500555743707}\n",
      " > iteration 78/100, took 0:01:27 (remains: 0:31:54)\n",
      "   | 0.2901 (best: 0.3190) - {'url|boost': 4.444980338998939, 'title|boost': 0.18770707455075367, 'title_bigrams|boost': 4.71393353259066, 'body|boost': 0.003048454760247177, 'body_bigrams|boost': 9.83353947159709, 'expansions|boost': 9.92519667193398, 'expansions_bigrams|boost': 0.41951068247272355}\n",
      " > iteration 79/100, took 0:01:30 (remains: 0:31:35)\n",
      "   | 0.3180 (best: 0.3190) - {'url|boost': 5.570325401067447, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.858623745239156}\n",
      " > iteration 80/100, took 0:01:25 (remains: 0:28:35)\n",
      "   | 0.3178 (best: 0.3190) - {'url|boost': 5.626690601744627, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.926123285214795}\n",
      " > iteration 81/100, took 0:01:27 (remains: 0:27:43)\n",
      "   | 0.3172 (best: 0.3190) - {'url|boost': 5.617534635920799, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.640102683912579}\n",
      " > iteration 82/100, took 0:01:30 (remains: 0:27:10)\n",
      "   | 0.3184 (best: 0.3190) - {'url|boost': 6.097183383183431, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.652233132033602}\n",
      " > iteration 83/100, took 0:01:27 (remains: 0:24:47)\n",
      "   | 0.2836 (best: 0.3190) - {'url|boost': 0.4314928513197847, 'title|boost': 3.5956836127023446, 'title_bigrams|boost': 9.367131028791533, 'body|boost': 9.746059807086958, 'body_bigrams|boost': 5.809033679929609, 'expansions|boost': 4.128256013247453, 'expansions_bigrams|boost': 9.893228481270945}\n",
      " > iteration 84/100, took 0:01:30 (remains: 0:24:00)\n",
      "   | 0.3172 (best: 0.3190) - {'url|boost': 2.178102456978873, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.723595721807034, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.486171934930147, 'expansions_bigrams|boost': 3.3931578841187964}\n",
      " > iteration 85/100, took 0:01:26 (remains: 0:21:37)\n",
      "   | 0.3183 (best: 0.3190) - {'url|boost': 6.093134062638351, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.605588564405637}\n",
      " > iteration 86/100, took 0:01:25 (remains: 0:20:01)\n",
      "   | 0.3176 (best: 0.3190) - {'url|boost': 6.520682922443299, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.745459557318176}\n",
      " > iteration 87/100, took 0:01:30 (remains: 0:19:30)\n",
      "   | 0.3178 (best: 0.3190) - {'url|boost': 4.966043617169939, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.334547078280313}\n",
      " > iteration 88/100, took 0:01:28 (remains: 0:17:36)\n",
      "   | 0.3167 (best: 0.3190) - {'url|boost': 3.914997104927749, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.347234067127472, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.51428194094069, 'expansions_bigrams|boost': 3.6847021584408917}\n",
      " > iteration 89/100, took 0:01:30 (remains: 0:16:34)\n",
      "   | 0.3190 (best: 0.3190) - {'url|boost': 7.048156283046325, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.245435934729184}\n",
      " > iteration 90/100, took 0:01:29 (remains: 0:14:55)\n",
      "   | 0.3194 (best: 0.3194) - {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
      " > iteration 91/100, took 0:01:29 (remains: 0:13:28)\n",
      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.26656396858937, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.237668033517105}\n",
      " > iteration 92/100, took 0:01:30 (remains: 0:12:03)\n",
      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.800407950598993, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.244023806319129}\n",
      " > iteration 93/100, took 0:01:29 (remains: 0:10:29)\n",
      "   | 0.3183 (best: 0.3194) - {'url|boost': 9.356935755138089, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.264668117563851}\n",
      " > iteration 94/100, took 0:01:31 (remains: 0:09:10)\n",
      "   | 0.2986 (best: 0.3194) - {'url|boost': 0.34990706765332785, 'title|boost': 3.767294300448979, 'title_bigrams|boost': 2.4849021439973114, 'body|boost': 0.5912345992426405, 'body_bigrams|boost': 0.3367830423025165, 'expansions|boost': 9.984670768557857, 'expansions_bigrams|boost': 9.45742645887214}\n",
      " > iteration 95/100, took 0:01:31 (remains: 0:07:35)\n",
      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.773929257750062, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.238440365719446}\n",
      " > iteration 96/100, took 0:01:26 (remains: 0:05:45)\n",
      "   | 0.3182 (best: 0.3194) - {'url|boost': 8.978660301920385, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243776341355527}\n",
      " > iteration 97/100, took 0:01:34 (remains: 0:04:43)\n",
      "   | 0.3188 (best: 0.3194) - {'url|boost': 8.147422878202095, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.393159737361968, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.079114501808526}\n",
      " > iteration 98/100, took 0:01:28 (remains: 0:02:57)\n",
      "   | 0.3179 (best: 0.3194) - {'url|boost': 8.179099506279785, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.180252656378258, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.073714561237099}\n",
      " > iteration 99/100, took 0:01:30 (remains: 0:01:30)\n",
      "   | 0.3191 (best: 0.3194) - {'url|boost': 8.380708576917726, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.341310077119421}\n",
      " > iteration 100/100, took 0:01:29 (remains: 0:00:00)\n",
      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.422751074163315, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.37340665369896}\n",
      "Best score: 0.3194\n",
      "Best params: {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
      "Final params: {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
      "\n",
      "CPU times: user 3min 29s, sys: 40.4 s, total: 4min 9s\n",
      "Wall time: 2h 30min 32s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 100,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 49 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3413\n",
      "CPU times: user 2.18 s, sys: 696 ms, total: 2.88 s\n",
      "Wall time: 7min 6s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 7.5510316594810964,\n",
       " 'title|boost': 0.0,\n",
       " 'title_bigrams|boost': 0.0,\n",
       " 'body|boost': 10.0,\n",
       " 'body_bigrams|boost': 0.0,\n",
       " 'expansions|boost': 10.0,\n",
       " 'expansions_bigrams|boost': 5.243287957841142}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 5.019618907965658,\n",
       " 'title|boost': 2.1715172653248564,\n",
       " 'title_bigrams|boost': 0.6258343432390224,\n",
       " 'body|boost': 8.97005088495938,\n",
       " 'body_bigrams|boost': 0.785011613141371,\n",
       " 'expansions|boost': 9.958043226768973,\n",
       " 'expansions_bigrams|boost': 2.6104666149721205}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# with 100/20 iterations\n",
    "# 0.3436\n",
    "\n",
    "{\n",
    "    'url|boost': 5.019618907965658,\n",
    "    'title|boost': 2.1715172653248564,\n",
    "    'title_bigrams|boost': 0.6258343432390224,\n",
    "    'body|boost': 8.97005088495938,\n",
    "    'body_bigrams|boost': 0.785011613141371,\n",
    "    'expansions|boost': 9.958043226768973,\n",
    "    'expansions_bigrams|boost': 2.6104666149721205\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selective fields\n",
    "\n",
    "Based on the results from above, remove fields with `0` boost values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "_templates = deepcopy(base_templates)\n",
    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
    "    \"type\": query_type,\n",
    "    \"query\": \"{{query_string}}\",\n",
    "    \"fields\": [\n",
    "        \"url^{{url|boost}}\",\n",
    "        \"body^{{body|boost}}\",\n",
    "        \"expansions^{{expansions|boost}}\",\n",
    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3389\n",
      "CPU times: user 2.38 s, sys: 1.01 s, total: 3.39 s\n",
      "Wall time: 3min 51s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "    'expansions_bigrams|boost': 1.0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/100, took 0:00:47 (remains: 1:18:01)\n",
      "   | 0.3192 (best: 0.3192) - {'url|boost': 3.1534369352709772, 'body|boost': 5.17470530348217, 'expansions|boost': 8.616905403474188, 'expansions_bigrams|boost': 1.344222671815042}\n",
      " > iteration 2/100, took 0:00:39 (remains: 1:04:52)\n",
      "   | 0.3099 (best: 0.3192) - {'url|boost': 3.37921714109408, 'body|boost': 8.547548572886692, 'expansions|boost': 6.449655320718694, 'expansions_bigrams|boost': 9.47905662687997}\n",
      " > iteration 3/100, took 0:00:42 (remains: 1:09:21)\n",
      "   | 0.3122 (best: 0.3192) - {'url|boost': 4.976528926154728, 'body|boost': 7.561029327691196, 'expansions|boost': 4.771402900016107, 'expansions_bigrams|boost': 7.642019706390334}\n",
      " > iteration 4/100, took 0:00:37 (remains: 0:59:55)\n",
      "   | 0.3107 (best: 0.3192) - {'url|boost': 8.269811951902422, 'body|boost': 3.9604307826572214, 'expansions|boost': 7.683212383605039, 'expansions_bigrams|boost': 8.863124189222091}\n",
      " > iteration 5/100, took 0:00:39 (remains: 1:02:47)\n",
      "   | 0.3102 (best: 0.3192) - {'url|boost': 8.06245977318514, 'body|boost': 8.37903678895154, 'expansions|boost': 1.6098826875547614, 'expansions_bigrams|boost': 4.332251310706522}\n",
      " > iteration 6/100, took 0:00:34 (remains: 0:54:46)\n",
      "   | 0.3107 (best: 0.3192) - {'url|boost': 0.6719681038066961, 'body|boost': 9.361891265676377, 'expansions|boost': 5.982813469364027, 'expansions_bigrams|boost': 0.6920111794940732}\n",
      " > iteration 7/100, took 0:00:33 (remains: 0:51:18)\n",
      "   | 0.3059 (best: 0.3192) - {'url|boost': 1.3064239809743885, 'body|boost': 0.7082858841701479, 'expansions|boost': 4.2058106593488, 'expansions_bigrams|boost': 4.631310519196407}\n",
      " > iteration 8/100, took 0:00:41 (remains: 1:03:35)\n",
      "   | 0.3043 (best: 0.3192) - {'url|boost': 7.348968662744632, 'body|boost': 8.816953361177456, 'expansions|boost': 2.1910916609093585, 'expansions_bigrams|boost': 2.30025395017377}\n",
      " > iteration 9/100, took 0:00:38 (remains: 0:57:57)\n",
      "   | 0.3027 (best: 0.3192) - {'url|boost': 5.168515387289871, 'body|boost': 2.3565623039701395, 'expansions|boost': 1.5968745802755715, 'expansions_bigrams|boost': 0.9419184043859143}\n",
      " > iteration 10/100, took 0:00:36 (remains: 0:54:07)\n",
      "   | 0.3114 (best: 0.3192) - {'url|boost': 3.3230190784696174, 'body|boost': 7.4538151017762475, 'expansions|boost': 5.453200997018925, 'expansions_bigrams|boost': 7.862588695871073}\n",
      " > iteration 11/100, took 0:00:36 (remains: 0:54:06)\n",
      "   | 0.3034 (best: 0.3192) - {'url|boost': 9.815657606518812, 'body|boost': 4.398401009187496, 'expansions|boost': 2.5174265864277707, 'expansions_bigrams|boost': 6.979145952846572}\n",
      " > iteration 12/100, took 0:00:35 (remains: 0:52:17)\n",
      "   | 0.3156 (best: 0.3192) - {'url|boost': 7.483697671567986, 'body|boost': 8.507256072728977, 'expansions|boost': 8.99059675751258, 'expansions_bigrams|boost': 8.999903235430555}\n",
      " > iteration 13/100, took 0:00:32 (remains: 0:47:37)\n",
      "   | 0.3182 (best: 0.3192) - {'url|boost': 3.4333417327357623, 'body|boost': 7.0420614762501765, 'expansions|boost': 7.767523741014904, 'expansions_bigrams|boost': 2.1713858306036897}\n",
      " > iteration 14/100, took 0:00:33 (remains: 0:48:36)\n",
      "   | 0.3081 (best: 0.3192) - {'url|boost': 2.433092115034478, 'body|boost': 3.3030271336497536, 'expansions|boost': 4.8002549682704725, 'expansions_bigrams|boost': 6.817916909899995}\n",
      " > iteration 15/100, took 0:00:36 (remains: 0:52:08)\n",
      "   | 0.3136 (best: 0.3192) - {'url|boost': 6.311727655579257, 'body|boost': 5.883085122571695, 'expansions|boost': 5.235806568845051, 'expansions_bigrams|boost': 1.4630781182770893}\n",
      " > iteration 16/100, took 0:00:30 (remains: 0:42:33)\n",
      "   | 0.3024 (best: 0.3192) - {'url|boost': 6.709157416386965, 'body|boost': 1.164936465255483, 'expansions|boost': 2.996696248532937, 'expansions_bigrams|boost': 9.693540243488979}\n",
      " > iteration 17/100, took 0:00:36 (remains: 0:49:51)\n",
      "   | 0.3189 (best: 0.3192) - {'url|boost': 7.102896636970863, 'body|boost': 8.694289298308751, 'expansions|boost': 8.242079289254692, 'expansions_bigrams|boost': 4.925586032298011}\n",
      " > iteration 18/100, took 0:00:38 (remains: 0:52:47)\n",
      "   | 0.2957 (best: 0.3192) - {'url|boost': 3.5895053797574055, 'body|boost': 4.4678357013913805, 'expansions|boost': 0.057163847221306525, 'expansions_bigrams|boost': 1.624256964189136}\n",
      " > iteration 19/100, took 0:00:29 (remains: 0:39:56)\n",
      "   | 0.3139 (best: 0.3192) - {'url|boost': 5.069794361455175, 'body|boost': 2.853720364184667, 'expansions|boost': 9.874030943270965, 'expansions_bigrams|boost': 3.276877544113636}\n",
      " > iteration 20/100, took 0:00:32 (remains: 0:43:19)\n",
      "   | 0.2994 (best: 0.3192) - {'url|boost': 2.2238918924838895, 'body|boost': 0.6493812334635342, 'expansions|boost': 4.366572542640012, 'expansions_bigrams|boost': 8.158486101390839}\n",
      " > iteration 21/100, took 0:00:19 (remains: 0:25:49)\n",
      "   | 0.3025 (best: 0.3192) - {'url|boost': 5.7962693191804515, 'body|boost': 0.14338027994230787, 'expansions|boost': 9.287725674979354, 'expansions_bigrams|boost': 0.042332390516705135}\n",
      " > iteration 22/100, took 0:00:25 (remains: 0:32:43)\n",
      "   | 0.3154 (best: 0.3192) - {'url|boost': 1.6537716924840786, 'body|boost': 6.3750880153620955, 'expansions|boost': 9.989490988895739, 'expansions_bigrams|boost': 1.6623017210938198}\n",
      " > iteration 23/100, took 0:00:32 (remains: 0:41:12)\n",
      "   | 0.3138 (best: 0.3192) - {'url|boost': 8.279935527388139, 'body|boost': 6.96293239616569, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 1.9012565958763286}\n",
      " > iteration 24/100, took 0:00:34 (remains: 0:43:43)\n",
      "   | 0.3065 (best: 0.3192) - {'url|boost': 5.895362599584403, 'body|boost': 9.987730940021425, 'expansions|boost': 0.3048688079469553, 'expansions_bigrams|boost': 9.734165205957883}\n",
      " > iteration 25/100, took 0:00:34 (remains: 0:42:51)\n",
      "   | 0.3162 (best: 0.3192) - {'url|boost': 1.7356089832764068, 'body|boost': 9.96578104480943, 'expansions|boost': 9.896286230237308, 'expansions_bigrams|boost': 8.617431697922598}\n",
      " > iteration 26/100, took 0:00:31 (remains: 0:38:49)\n",
      "   | 0.3159 (best: 0.3192) - {'url|boost': 2.6356237316240176, 'body|boost': 6.101392408723198, 'expansions|boost': 9.852196211991734, 'expansions_bigrams|boost': 5.839576444493869}\n",
      " > iteration 27/100, took 0:00:35 (remains: 0:42:43)\n",
      "   | 0.3177 (best: 0.3192) - {'url|boost': 9.705719864621148, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.8083605844996615}\n",
      " > iteration 28/100, took 0:00:35 (remains: 0:42:06)\n",
      "   | 0.3178 (best: 0.3192) - {'url|boost': 5.874049702540263, 'body|boost': 9.97576319296352, 'expansions|boost': 9.908180607417911, 'expansions_bigrams|boost': 5.1594101549702565}\n",
      " > iteration 29/100, took 0:00:30 (remains: 0:36:19)\n",
      "   | 0.3175 (best: 0.3192) - {'url|boost': 2.0328426297297235, 'body|boost': 5.2798433362212736, 'expansions|boost': 7.476068899523012, 'expansions_bigrams|boost': 3.689407073792897}\n",
      " > iteration 30/100, took 0:00:30 (remains: 0:35:55)\n",
      "   | 0.3048 (best: 0.3192) - {'url|boost': 3.982998198295389, 'body|boost': 0.05085686290938308, 'expansions|boost': 9.785470560236142, 'expansions_bigrams|boost': 9.448241776362627}\n",
      " > iteration 31/100, took 0:00:26 (remains: 0:30:38)\n",
      "   | 0.2857 (best: 0.3192) - {'url|boost': 8.310522884189313, 'body|boost': 0.04291716448192263, 'expansions|boost': 0.032031011250722725, 'expansions_bigrams|boost': 9.138329665827348}\n",
      " > iteration 32/100, took 0:00:22 (remains: 0:25:42)\n",
      "   | 0.3090 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 33/100, took 0:00:36 (remains: 0:40:47)\n",
      "   | 0.3143 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 5.407728568138644, 'expansions_bigrams|boost': 5.129569632266961}\n",
      " > iteration 34/100, took 0:00:35 (remains: 0:39:15)\n",
      "   | 0.3145 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 7.1314505035158415, 'expansions|boost': 8.290142231144618, 'expansions_bigrams|boost': 4.336333978137986}\n",
      " > iteration 35/100, took 0:00:34 (remains: 0:36:54)\n",
      "   | 0.3105 (best: 0.3192) - {'url|boost': 9.38819662125159, 'body|boost': 5.247377239917144, 'expansions|boost': 9.988264689447725, 'expansions_bigrams|boost': 9.922829033776896}\n",
      " > iteration 36/100, took 0:00:29 (remains: 0:30:59)\n",
      "   | 0.2777 (best: 0.3192) - {'url|boost': 4.045469474318675, 'body|boost': 9.821225970963265, 'expansions|boost': 0.3082127924987044, 'expansions_bigrams|boost': 0.35294281566479185}\n",
      " > iteration 37/100, took 0:00:32 (remains: 0:34:09)\n",
      "   | 0.3130 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.573920974226059}\n",
      " > iteration 38/100, took 0:00:32 (remains: 0:33:20)\n",
      "   | 0.3169 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 8.062328686583816, 'expansions_bigrams|boost': 3.1374604856213195}\n",
      " > iteration 39/100, took 0:00:33 (remains: 0:34:13)\n",
      "   | 0.3164 (best: 0.3192) - {'url|boost': 9.349999868502103, 'body|boost': 9.886867743067697, 'expansions|boost': 9.842944527309902, 'expansions_bigrams|boost': 9.895908609463875}\n",
      " > iteration 40/100, took 0:00:36 (remains: 0:36:36)\n",
      "   | 0.3123 (best: 0.3192) - {'url|boost': 9.076173689106563, 'body|boost': 0.08023475558936456, 'expansions|boost': 9.9762552167584, 'expansions_bigrams|boost': 5.5326962591808995}\n",
      " > iteration 41/100, took 0:00:35 (remains: 0:34:26)\n",
      "   | 0.3051 (best: 0.3192) - {'url|boost': 7.99275539244523, 'body|boost': 0.1740067594949191, 'expansions|boost': 5.931312136019569, 'expansions_bigrams|boost': 1.7912580615677178}\n",
      " > iteration 42/100, took 0:00:32 (remains: 0:31:24)\n",
      "   | 0.3146 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 7.006009071715535, 'expansions|boost': 6.585374186115577, 'expansions_bigrams|boost': 3.244896548296622}\n",
      " > iteration 43/100, took 0:00:35 (remains: 0:34:05)\n",
      "   | 0.3076 (best: 0.3192) - {'url|boost': 2.16425770084377, 'body|boost': 9.865189002656724, 'expansions|boost': 0.1628394661128463, 'expansions_bigrams|boost': 7.024189528517587}\n",
      " > iteration 44/100, took 0:00:34 (remains: 0:32:18)\n",
      "   | 0.3186 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 3.548490177989237}\n",
      " > iteration 45/100, took 0:00:34 (remains: 0:31:45)\n",
      "   | 0.3096 (best: 0.3192) - {'url|boost': 0.4292157996189439, 'body|boost': 9.975625544079175, 'expansions|boost': 3.670214435901929, 'expansions_bigrams|boost': 9.982583175914733}\n",
      " > iteration 46/100, took 0:00:26 (remains: 0:23:35)\n",
      "   | 0.3180 (best: 0.3192) - {'url|boost': 3.032527657968605, 'body|boost': 5.1619951866620015, 'expansions|boost': 6.920697789948597, 'expansions_bigrams|boost': 0.08943953452429822}\n",
      " > iteration 47/100, took 0:00:32 (remains: 0:29:08)\n",
      "   | 0.3098 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 5.442585728429661, 'expansions|boost': 7.641257786765619, 'expansions_bigrams|boost': 1.2630175214856303}\n",
      " > iteration 48/100, took 0:00:14 (remains: 0:12:10)\n",
      "   | 0.3103 (best: 0.3192) - {'url|boost': 0.006606102724923125, 'body|boost': 2.5288618430754877, 'expansions|boost': 7.73535853962448, 'expansions_bigrams|boost': 0.6095899417375273}\n",
      " > iteration 49/100, took 0:00:35 (remains: 0:29:49)\n",
      "   | 0.3069 (best: 0.3192) - {'url|boost': 9.22198940104872, 'body|boost': 9.872075719258303, 'expansions|boost': 7.339842118118525, 'expansions_bigrams|boost': 0.1646315885713834}\n",
      " > iteration 50/100, took 0:00:35 (remains: 0:29:10)\n",
      "   | 0.3177 (best: 0.3192) - {'url|boost': 4.3485597312125375, 'body|boost': 10.0, 'expansions|boost': 6.877051847246981, 'expansions_bigrams|boost': 4.503413674089347}\n",
      " > iteration 51/100, took 0:00:34 (remains: 0:27:49)\n",
      "   | 0.3165 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 7.239985100315275}\n",
      " > iteration 52/100, took 0:00:26 (remains: 0:21:00)\n",
      "   | 0.2975 (best: 0.3192) - {'url|boost': 0.5362308406335471, 'body|boost': 5.964099551083856, 'expansions|boost': 0.2431464865159561, 'expansions_bigrams|boost': 9.704871004367197}\n",
      " > iteration 53/100, took 0:00:34 (remains: 0:26:45)\n",
      "   | 0.3121 (best: 0.3192) - {'url|boost': 9.891487539831749, 'body|boost': 9.653107008239331, 'expansions|boost': 5.05127346686135, 'expansions_bigrams|boost': 9.166109822516264}\n",
      " > iteration 54/100, took 0:00:21 (remains: 0:16:35)\n",
      "   | 0.3072 (best: 0.3192) - {'url|boost': 0.05842919314583029, 'body|boost': 0.29913885229447273, 'expansions|boost': 9.742402852654182, 'expansions_bigrams|boost': 5.440907849914439}\n",
      " > iteration 55/100, took 0:00:33 (remains: 0:25:13)\n",
      "   | 0.3194 (best: 0.3194) - {'url|boost': 5.273054577603691, 'body|boost': 10.0, 'expansions|boost': 9.063465505593332, 'expansions_bigrams|boost': 3.3389716625765247}\n",
      " > iteration 56/100, took 0:00:31 (remains: 0:23:00)\n",
      "   | 0.3076 (best: 0.3194) - {'url|boost': 0.285237246705038, 'body|boost': 5.334369771606209, 'expansions|boost': 9.644071121822822, 'expansions_bigrams|boost': 9.724591920861341}\n",
      " > iteration 57/100, took 0:00:36 (remains: 0:26:14)\n",
      "   | 0.3117 (best: 0.3194) - {'url|boost': 0.31930245936678486, 'body|boost': 9.908697679104518, 'expansions|boost': 3.0754753421969543, 'expansions_bigrams|boost': 5.52226434047803}\n",
      " > iteration 58/100, took 0:00:13 (remains: 0:09:38)\n",
      "   | 0.3129 (best: 0.3194) - {'url|boost': 0.050228277458492794, 'body|boost': 0.9579665924657645, 'expansions|boost': 2.6216720635285324, 'expansions_bigrams|boost': 0.08252086796705084}\n",
      " > iteration 59/100, took 0:00:34 (remains: 0:23:31)\n",
      "   | 0.3132 (best: 0.3194) - {'url|boost': 0.3551886680242578, 'body|boost': 0.361363310698496, 'expansions|boost': 0.16027641489300695, 'expansions_bigrams|boost': 0.423060840229137}\n",
      " > iteration 60/100, took 0:00:32 (remains: 0:21:26)\n",
      "   | 0.3092 (best: 0.3194) - {'url|boost': 9.89003307953756, 'body|boost': 0.36309344104707825, 'expansions|boost': 8.195025203489298, 'expansions_bigrams|boost': 9.302240734749448}\n",
      " > iteration 61/100, took 0:00:29 (remains: 0:19:08)\n",
      "   | 0.3195 (best: 0.3195) - {'url|boost': 3.0439332228550597, 'body|boost': 5.011677543319463, 'expansions|boost': 7.243240801717356, 'expansions_bigrams|boost': 1.715016303112965}\n",
      " > iteration 62/100, took 0:00:36 (remains: 0:22:51)\n",
      "   | 0.3195 (best: 0.3195) - {'url|boost': 5.302732401136118, 'body|boost': 8.639454959138973, 'expansions|boost': 9.129053656558142, 'expansions_bigrams|boost': 3.773337349985101}\n",
      " > iteration 63/100, took 0:00:34 (remains: 0:21:30)\n",
      "   | 0.3189 (best: 0.3195) - {'url|boost': 6.119129957077293, 'body|boost': 9.06567277641751, 'expansions|boost': 7.917479843261662, 'expansions_bigrams|boost': 3.3297232187879127}\n",
      " > iteration 64/100, took 0:00:32 (remains: 0:19:46)\n",
      "   | 0.3137 (best: 0.3195) - {'url|boost': 9.68938571014941, 'body|boost': 4.1339036186682065, 'expansions|boost': 9.657668020285389, 'expansions_bigrams|boost': 6.088177714864107}\n",
      " > iteration 65/100, took 0:00:32 (remains: 0:18:56)\n",
      "   | 0.3104 (best: 0.3195) - {'url|boost': 9.894005839638435, 'body|boost': 1.1091867822600834, 'expansions|boost': 6.086957673162956, 'expansions_bigrams|boost': 5.652484934613861}\n",
      " > iteration 66/100, took 0:00:12 (remains: 0:07:15)\n",
      "   | 0.2371 (best: 0.3195) - {'url|boost': 9.264735547370172, 'body|boost': 0.09870829491157586, 'expansions|boost': 0.04407173074951865, 'expansions_bigrams|boost': 0.46680671588427264}\n",
      " > iteration 67/100, took 0:00:15 (remains: 0:08:18)\n",
      "   | 0.3042 (best: 0.3195) - {'url|boost': 3.0522392529824787, 'body|boost': 0.0, 'expansions|boost': 4.992704352371879, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 68/100, took 0:00:15 (remains: 0:08:00)\n",
      "   | 0.2685 (best: 0.3195) - {'url|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 5.357772536032789}\n",
      " > iteration 69/100, took 0:00:27 (remains: 0:14:24)\n",
      "   | 0.3110 (best: 0.3195) - {'url|boost': 5.286720241518252, 'body|boost': 0.0, 'expansions|boost': 7.332191858509901, 'expansions_bigrams|boost': 5.3962144568968595}\n",
      " > iteration 70/100, took 0:00:34 (remains: 0:17:26)\n",
      "   | 0.3172 (best: 0.3195) - {'url|boost': 4.207302886562034, 'body|boost': 4.4437187845814545, 'expansions|boost': 4.02420895706553, 'expansions_bigrams|boost': 3.212469279198662}\n",
      " > iteration 71/100, took 0:00:31 (remains: 0:15:20)\n",
      "   | 0.3048 (best: 0.3195) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 7.815065423370214}\n",
      " > iteration 72/100, took 0:00:36 (remains: 0:17:04)\n",
      "   | 0.3153 (best: 0.3195) - {'url|boost': 6.128962912463689, 'body|boost': 10.0, 'expansions|boost': 3.000281707340076, 'expansions_bigrams|boost': 5.668027526741418}\n",
      " > iteration 73/100, took 0:00:33 (remains: 0:14:52)\n",
      "   | 0.3157 (best: 0.3195) - {'url|boost': 5.772311906646924, 'body|boost': 4.1921386623286665, 'expansions|boost': 6.922011179501802, 'expansions_bigrams|boost': 3.5628457058377236}\n",
      " > iteration 74/100, took 0:00:35 (remains: 0:15:26)\n",
      "   | 0.3058 (best: 0.3195) - {'url|boost': 0.3719050763961496, 'body|boost': 4.836419322623945, 'expansions|boost': 2.1708004575083666, 'expansions_bigrams|boost': 0.08617708281251747}\n",
      " > iteration 75/100, took 0:00:34 (remains: 0:14:33)\n",
      "   | 0.3130 (best: 0.3195) - {'url|boost': 0.040240079184080686, 'body|boost': 9.333912087188219, 'expansions|boost': 6.403118876803938, 'expansions_bigrams|boost': 7.2587397302322}\n",
      " > iteration 76/100, took 0:00:26 (remains: 0:10:45)\n",
      "   | 0.3032 (best: 0.3195) - {'url|boost': 9.879462107505677, 'body|boost': 0.29242447759043916, 'expansions|boost': 9.725142503722322, 'expansions_bigrams|boost': 0.7909100529548825}\n",
      " > iteration 77/100, took 0:00:32 (remains: 0:12:26)\n",
      "   | 0.3037 (best: 0.3195) - {'url|boost': 9.596174008588426, 'body|boost': 6.339397740910256, 'expansions|boost': 1.7035383266615405, 'expansions_bigrams|boost': 9.905029084495222}\n",
      " > iteration 78/100, took 0:00:33 (remains: 0:12:26)\n",
      "   | 0.3142 (best: 0.3195) - {'url|boost': 4.953781247764432, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 79/100, took 0:00:34 (remains: 0:12:08)\n",
      "   | 0.3153 (best: 0.3195) - {'url|boost': 4.363876940255057, 'body|boost': 10.0, 'expansions|boost': 8.41186177886082, 'expansions_bigrams|boost': 6.5621546835024525}\n",
      " > iteration 80/100, took 0:00:34 (remains: 0:11:29)\n",
      "   | 0.3188 (best: 0.3195) - {'url|boost': 7.818768259265003, 'body|boost': 10.0, 'expansions|boost': 8.974671504750006, 'expansions_bigrams|boost': 3.684369039327127}\n",
      " > iteration 81/100, took 0:00:30 (remains: 0:09:42)\n",
      "   | 0.2981 (best: 0.3195) - {'url|boost': 0.044041583778523526, 'body|boost': 0.2752253666778193, 'expansions|boost': 7.242923354722805, 'expansions_bigrams|boost': 9.887687821657694}\n",
      " > iteration 82/100, took 0:00:32 (remains: 0:09:38)\n",
      "   | 0.3164 (best: 0.3195) - {'url|boost': 3.229529630057023, 'body|boost': 3.194707421776353, 'expansions|boost': 5.077508765760684, 'expansions_bigrams|boost': 1.9067766226353537}\n",
      " > iteration 83/100, took 0:00:33 (remains: 0:09:21)\n",
      "   | 0.3143 (best: 0.3195) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 84/100, took 0:00:29 (remains: 0:07:45)\n",
      "   | 0.3156 (best: 0.3195) - {'url|boost': 4.956022467527741, 'body|boost': 8.606610802991451, 'expansions|boost': 9.871740519713892, 'expansions_bigrams|boost': 0.28963342256349117}\n",
      " > iteration 85/100, took 0:00:35 (remains: 0:08:51)\n",
      "   | 0.3143 (best: 0.3195) - {'url|boost': 6.247393724048854, 'body|boost': 7.423218642753775, 'expansions|boost': 4.5488209805187205, 'expansions_bigrams|boost': 4.493529982645236}\n",
      " > iteration 86/100, took 0:00:32 (remains: 0:07:33)\n",
      "   | 0.2981 (best: 0.3195) - {'url|boost': 0.600717518699221, 'body|boost': 9.941242130822419, 'expansions|boost': 0.2600068297458869, 'expansions_bigrams|boost': 9.787456319449818}\n",
      " > iteration 87/100, took 0:00:35 (remains: 0:07:44)\n",
      "   | 0.3131 (best: 0.3195) - {'url|boost': 4.325445839485349, 'body|boost': 6.63203027429352, 'expansions|boost': 1.7992966502138987, 'expansions_bigrams|boost': 6.686602958802355}\n",
      " > iteration 88/100, took 0:00:34 (remains: 0:06:51)\n",
      "   | 0.3190 (best: 0.3195) - {'url|boost': 3.218319349220416, 'body|boost': 10.0, 'expansions|boost': 8.39785699571928, 'expansions_bigrams|boost': 3.6458845152425674}\n",
      " > iteration 89/100, took 0:00:29 (remains: 0:05:19)\n",
      "   | 0.3205 (best: 0.3205) - {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
      " > iteration 90/100, took 0:00:31 (remains: 0:05:14)\n",
      "   | 0.3055 (best: 0.3205) - {'url|boost': 9.872007594384451, 'body|boost': 1.6216342361791949, 'expansions|boost': 4.588227681182651, 'expansions_bigrams|boost': 9.799682023322305}\n",
      " > iteration 91/100, took 0:00:33 (remains: 0:04:59)\n",
      "   | 0.3076 (best: 0.3205) - {'url|boost': 9.956822098098929, 'body|boost': 9.147578065731313, 'expansions|boost': 9.697260351124603, 'expansions_bigrams|boost': 0.06889636408491386}\n",
      " > iteration 92/100, took 0:00:29 (remains: 0:03:52)\n",
      "   | 0.3202 (best: 0.3205) - {'url|boost': 4.5327573787831845, 'body|boost': 5.727022077442159, 'expansions|boost': 8.035305621149625, 'expansions_bigrams|boost': 0.4127878874322406}\n",
      " > iteration 93/100, took 0:00:34 (remains: 0:04:02)\n",
      "   | 0.3160 (best: 0.3205) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 7.973762672864542, 'expansions_bigrams|boost': 8.318592250570722}\n",
      " > iteration 94/100, took 0:00:13 (remains: 0:01:21)\n",
      "   | 0.3068 (best: 0.3205) - {'url|boost': 0.27208950403655235, 'body|boost': 0.819578638272407, 'expansions|boost': 9.971259247685659, 'expansions_bigrams|boost': 1.468968979606993}\n",
      " > iteration 95/100, took 0:00:35 (remains: 0:02:55)\n",
      "   | 0.3054 (best: 0.3205) - {'url|boost': 0.51485762496022, 'body|boost': 9.900374025933825, 'expansions|boost': 1.3086101200825708, 'expansions_bigrams|boost': 2.9620529354823693}\n",
      " > iteration 96/100, took 0:00:35 (remains: 0:02:21)\n",
      "   | 0.3137 (best: 0.3205) - {'url|boost': 0.42731820842701224, 'body|boost': 3.9679579183781666, 'expansions|boost': 2.7695081535049186, 'expansions_bigrams|boost': 2.468287333264208}\n",
      " > iteration 97/100, took 0:00:32 (remains: 0:01:38)\n",
      "   | 0.3092 (best: 0.3205) - {'url|boost': 0.019491760710061982, 'body|boost': 5.602242406475586, 'expansions|boost': 4.667532821539684, 'expansions_bigrams|boost': 9.983713116641278}\n",
      " > iteration 98/100, took 0:00:29 (remains: 0:00:58)\n",
      "   | 0.3193 (best: 0.3205) - {'url|boost': 3.8772741723913597, 'body|boost': 5.764680231512717, 'expansions|boost': 7.642569189512022, 'expansions_bigrams|boost': 0.848170271612882}\n",
      " > iteration 99/100, took 0:00:23 (remains: 0:00:23)\n",
      "   | 0.3188 (best: 0.3205) - {'url|boost': 4.0408984307918825, 'body|boost': 5.1429075563233315, 'expansions|boost': 8.509608353070817, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 100/100, took 0:00:29 (remains: 0:00:00)\n",
      "   | 0.3177 (best: 0.3205) - {'url|boost': 4.759221736864234, 'body|boost': 4.681355511211998, 'expansions|boost': 7.863111692843905, 'expansions_bigrams|boost': 1.064330117467514}\n",
      "Best score: 0.3205\n",
      "Best params: {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
      "Final params: {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
      "\n",
      "CPU times: user 3min 10s, sys: 34.6 s, total: 3min 45s\n",
      "Wall time: 53min 22s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 100,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3383\n",
      "CPU times: user 1.98 s, sys: 856 ms, total: 2.83 s\n",
      "Wall time: 3min 45s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 4.26511661681947,\n",
       " 'body|boost': 4.654524305221784,\n",
       " 'expansions|boost': 7.682154479013796,\n",
       " 'expansions_bigrams|boost': 0.9937366618742022}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# with 100/20 iterations\n",
    "# 0.3405\n",
    "\n",
    "{\n",
    "    'url|boost': 5.9772866071225605,\n",
    "    'body|boost': 10.0,\n",
    "    'expansions|boost': 10.0,\n",
    "    'expansions_bigrams|boost': 2.283163846176233\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
